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Review on classification of different VANET Protocols based on routing information

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Vehicular Ad-hoc Networks (VANETs) are the special class of Mobile Ad-hoc Networks (MANETs) with high mobility and frequent changes of topology. It is a type of highly dynamic wireless network that can be formed without the need for any pre-existing infrastructure which aims to improve the transportation system by integrating sensors, wireless networks, GPS, 2G and 3G technologies with the Ad-hoc networks. Due to higher mobility of nodes (vehicles), routing becomes the most challenging task in VANETs. A variety of research has been done on routing and several protocols have been proposed with their implementation. As VANET (Vehicular Ad-hoc Network) research field is growing very fast. It has to serve a wide range of applications under different scenarios (City, Highway). It has various challenges to adopt the protocols that can serve in different topology and scenario. The main objective of Vehicular Ad-hoc Networks is to build a robust network between mobile vehicles so that vehicles can talk to each other for the safety of human beings. This paper deals with the study of classification of different Ad Hoc routing protocols and their different routing techniques.
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ISSN (Online) 2278-1021
ISSN (Print) 2319-5940
International Journal of Advanced Research in Computer and Communication Engineering
Vol. 4, Issue 5, May 2015
Copyright to IJARCCE DOI 10.17148/IJARCCE.2015.4585 388
Review on classification of different VANET
Protocols based on routing information
Ghanishtha Narang1, Yogesh Juneja2
Student, M. Tech (ECE), PDM College of Engineering, Bahadurgarh, India1
Assistant Professor (ECE), PDM College of Engineering, Bahadurgarh, India2
Abstract: Vehicular Ad-hoc Networks (VANETs) are the special class of Mobile Ad-hoc Networks (MANETs) with
high mobility and frequent changes of topology. It is a type of highly dynamic wireless network that can be formed
without the need for any pre-existing infrastructure which aims to improve the transportation system by integrating
sensors, wireless networks, GPS, 2G and 3G technologies with the Ad-hoc networks. Due to higher mobility of nodes
(vehicles), routing becomes the most challenging task in VANETs. A variety of research has been done on routing and
several protocols have been proposed with their implementation. As VANET (Vehicular Ad-hoc Network) research
field is growing very fast. It has to serve a wide range of applications under different scenarios (City, Highway). It has
various challenges to adopt the protocols that can serve in different topology and scenario. The main objective of
Vehicular Ad-hoc Networks is to build a robust network between mobile vehicles so that vehicles can talk to each other
for the safety of human beings. This paper deals with the study of classification of different Ad Hoc routing protocols
and their different routing techniques.
Keywords: VANET (Vehicular Ad-hoc Network), MANET (Mobile Ad-hoc Network), routing protocols, AODV,
AOMDV.
I. INTRODUCTION
Driving means changing location constantly. This means a
constant demand for information on the current location
and specifically for data on the surrounding traffic, routes
and much more. This information can be grouped together
in several categories. A very important category is driver
assistance and car safety. This includes many different
things mostly based on sensor data from other cars. We
could think of brake warning sent from preceding car and
collision warning, information about road condition and
maintenance, detailed regional weather forecast,
premonition of traffic jams, caution to an accident behind
the next bend, detailed information about an accident for
the rescue team and many other things. We could also
think of local updates of the cars navigation systems or an
assistant that helps to follow a friend’s car.
Another category is infotainment for passengers. For
example internet access, chatting and interactive games
between cars close to each other. The kids will love it.
Next category is local information as next free parking
space (perhaps with a reservation system), detailed
information about fuel prices and services offered by the
next service station or just tourist information about sights.
A possible other category is car maintenance. For example
online help from your car mechanic when your car breaks
down or just simply service information. So far no inter-
vehicle communication system for data exchange between
vehicles and between roadside and vehicles has been put
into operation. But there are several different research
projects going on [1] [2]. VANET is one of those.
In 1999, the Federal Communications Commission of the
United States allocated 75 MHz of bandwidth in the 5.9-
GHz band for the new generation of a nationwide
VANET. This wireless spectrum is commonly known as
the dedicated short-range communication (DSRC)
spectrum, which has been used for vehicle-to-vehicle
(V2V) and vehicle-to-infrastructure (V2I) communications
[3]. In August 2006, the European Telecommunications
Standards Institute has also allocated 30 MHz of spectrum
in the 5.8-GHz band for ITS [4].
IEEE 802.11p is a new upcoming standard using the
DSRC spectrum. It extends the IEEE 802.11 standard for a
high-speed vehicular environment, which covers the data
link layer and the physical layer of the wireless access in
vehicular environments (WAVE) protocol stack.
Meanwhile, IEEE 1609, which is a family of standards,
has been developed to define the five upper layers of the
WAVE. The latest version of IEEE 802.11p has been
approved and published in July 2010 [5].
IEEE 802.11p supports data communication between
vehicles, in turn supports Intelligent Transportation
Systems (ITS) applications. The channel capacity is 10
MHz, and there are two safety channel, one control
channel and six service channel. Radio communication
range is about 300 to 1000 meters and data rate is 6 to 27
Mbps [6 and 7]. This paper deals with study of different
types of routing protocols for VANET.
II. VANET ARCHITECTURE
An VANET system architecture consists of different
domains and many individual components as depicted in
Figure1 [8].
ISSN (Online) 2278-1021
ISSN (Print) 2319-5940
International Journal of Advanced Research in Computer and Communication Engineering
Vol. 4, Issue 5, May 2015
Copyright to IJARCCE DOI 10.17148/IJARCCE.2015.4585 389
Fig 1: VANET System Architecture [8]
In-vehicle domain
This consists of an on-board unit (OBU) and one or more
application units (AU) inside a vehicle. AU executes a set
of applications utilizing the communication capability of
the OBU. An OBU is at least equipped with a (short
range) wireless communication device dedicated for road
safety, and potentially with other optional communication
devices (for safety and non safety communications). The
distinction between AU and OBU is logical; they can also
reside in a single physical unit [9].
Ad hoc domain
An ad hoc domain is composed of vehicles equipped with
OBUs and road-side units (RSUs), forming the VANET.
OBUs form a mobile ad hoc network which allows
communications among nodes without the need for a
centralized coordination instance. OBUs directly
communicate if wireless connectivity exists among them;
else multi-hop communications are used to forward data
[9].
Infrastructure domain
The infrastructure consists of RSUs and wireless hotspots
(HT) that the vehicles access for safety and non-safety
applications. While RSUs for internet access are typically
set up by road administrators or other public authorities,
public or privately owned hot spots are usually set up in a
less controlled environment [9]. Easy way to comply with
the conference paper formatting requirements is to use this
document as a template and simply type your text into it.
III. AD HOC ROUTING PROTOCOLS
VANET has some special characteristics that distinguish it
from other mobile ad hoc networks; the most important
characteristics that differentiate VANETs from MANETs
are: high mobility, self-organization, distributed
communication, road pattern restrictions, and no
restrictions of network size. All these characteristics made
VANETs environment a very challenging task for
developing efficient routing protocols. We have a number
of ad hoc routing protocols for MANETs but when we are
dealing with a VANET then we require ad hoc routing
protocols which must adapt continuously according to the
unreliable conditions. MANET routing protocols are not
suited for VANET because it is difficult for MANET
routing protocols to find stable routing paths in VANET
environments. Many routing protocols have been
developed for VANET environments, which can be
classified in many ways, according to different aspects;
such as: protocols characteristics, techniques used, routing
information, quality of services, network structures,
routing algorithms, and so on.
VANET routing protocols can be classified into five
classes based on the routing protocols characteristics and
techniques used: topology-based, position-based,
multicast-based, broadcast, and cluster-based protocols
[10], [11], [12]. Also these routing protocols can be
classified according to the network structures, into three
classes: hierarchical routing, flat routing, and position-
based routing. Moreover, according to routing strategies
these protocols can be categorized into two classes:
proactive and reactive [14]. On the other hand geographic-
based and topology-based are the two categories according
to the routing information used in packet forwarding [13].
Based on the quality of services, there are three types of
protocols that are dealing with network topology
(hierarchical, flat, and position aware), that concerning
with route discovery (reactive, proactive, hybrid and
predictive), or based on the MAC layer interaction [15].
We are hereby considering the classification based on
routing information used in packet forwarding.
TOPOLOGY BASED ROUTING
Several MANET routing protocols have used topology
based routing approach. Topology based routing protocols
use link’s information within the network to send the data
packets from source to destination [17]. Topology based
routing approach can be further categorized into three
groups:
1. Proactive routing
2. Reactive routing
3. Hybrid routing
1. Proactive Routing
Proactive routing protocols are mostly based on shortest
path algorithms. They keep information of all connected
nodes in form of tables because these protocols are table
based [16]. Furthermore, these tables are also shared with
their neighbors. Whenever any change occurs in network
topology, every node updates its routing table. Strategies
implemented in proactive algorithms are Link-state
routing (e.g. OLSR) and distance-vector routing (e.g.
DSDV). The working details for proactive routing
protocols are as follows: Destination Sequence Distance
ISSN (Online) 2278-1021
ISSN (Print) 2319-5940
International Journal of Advanced Research in Computer and Communication Engineering
Vol. 4, Issue 5, May 2015
Copyright to IJARCCE DOI 10.17148/IJARCCE.2015.4585 390
Vector Routing (DSDV) [16] use Distance Vector shortest
path routing algorithm, it provides loop free single path to
the destination. DSDV sends two types of packets ―full
dump‖ and ―incremental‖. In full dump packets, all the
routing information is send while in incremental only
updates are send. It decreases bandwidth utilization by
sending only updates instead of complete routing
information. The incremental still increases the overhead
in the network, because these incremental packets are so
frequent that makes it unsuitable for large scale networks.
Optimized link state routing (OLSR) [16] maintains
routing information by sending link state information.
After each change in the topology every node sends
updates to selective nodes. By doing so, every node in the
network receive updates only once. Unselected packets
cannot retransmit updates; they can only read updated
information. Source-Tree Adaptive Routing (STAR) [16]
is another link State protocol. In STAR, preferred routes to
every destination are saved in each router. It reduces
overhead on the network by eliminating periodic updates.
There is no need of sending updates unless any event
occurs. This protocol can be suitable for large scale
networks but it needs large memory and processing
because it has to maintain large trees for whole network.
Proactive based routing protocols may not be suitable for
high mobility nodes because distance vector routing takes
much bandwidth to share routing information with
neighbors. Furthermore, size of the table is also quite big
while discussing about large networks and in case of link
state routing a lot of memory and processing may also be
required. As in VANET, nodes (vehicles) have high
mobility and moves with high speed. Proactive based
routing is not suitable for it. Proactive based routing
protocols may fail in VANET due to consumption of more
bandwidth and large table information.
1.1 Destination Sequence Distance Vector Routing
(DSDV)
This protocol is based on classical Bellman-Ford routing
algorithm designed for MANETS. Each node maintains a
list of all destinations and number of hops to each
destination. Each entry is marked with a sequence number.
It uses full dump or incremental update to reduce network
traffic generated by rout updates. The broadcast of route
updates is delayed by settling time. The only improvement
made here is avoidance of routing loops in a mobile
network of routers. With this improvement, routing
information can always be readily available, regardless of
whether the source node requires the information or not.
DSDV solve the problem of routing loops and count to
infinity by associating each route entry with a sequence
number indicating its freshness. In DSDV, a sequence
number is linked to a destination node, and usually is
originated by that node (the owner). The only case that a
non-owner node updates a sequence number of a route is
when it detects a link break on that route. An owner node
always uses even-numbers as sequence numbers, and a
non-owner node always uses odd-numbers. With the
addition of sequence numbers, routes for the same
destination are selected based on the following rules: 1) a
route with a newer sequence number is preferred; 2) in the
case that two routes have a same sequence number, the
one with a better cost metric is preferred.
2. Reactive Routing
On demand or reactive routing protocols were designed in
such a manner to overcome the overhead that was created
by proactive routing protocols. This is overcome by
maintaining only those routes that are currently active
[16]. Routes are discovered and maintained for only those
nodes that are currently being used to send data packets
from source to destination. Route discovery in reactive
routing can be done by sending RREQ (Route Request)
from a node when it requires a route to send the data to a
particular destination. After sending RREQ, node then
waits for the RREP (Route Reply) and if it does not
receive any RREP within a given time period, source node
assumes that either route is not available or route expired
[18]. When RREQ reaches the particular destination and if
source node receives RREP then by using unicasting,
information is forwarded to the source node in order to
ensure that route is available for communication. Reactive
routing can be classified either as source routing or hop-
by-hop routing. In source routing complete route
information from source to destination is included in data
packets. When these data packets are forwarded to other
intermediate nodes in the network, each node takes route
information from the data packet and stores it in the
header of data packet.
As a result, each intermediate node does not need to
update all route information in order to send packet to the
particular destination [16]. The main drawback of source
routing is that it may not be suitable for large scale
networks, where numbers of nodes are quite high and their
behavior is highly dynamic such as VANET. The first
reason is that as numbers of nodes are larger in large scale
ad hoc networks hence it may result in route failure. The
second reason is that as numbers of intermediate nodes are
increasing, thus network overhead may occur and route
information in the header of each node may also increase.
Hop-by-hop reactive routing is better than on demand
source routing as each data packet in it contains next hop
and destination addresses. Thus intermediate nodes from
source to destination contain the routing table information
in order to send data packet to a particular destination.
This can be quite helpful for accommodating sudden
changes in network topology. Thus when topology
changes nodes receives fresh routing table information and
selects new routes accordingly. As a result these selected
routes are now used to send data packets to destination.
These types of routing protocols continuously update their
routing information and carried knowledge of each
neighboring node Therefore this type of reactive routing
can be adopted in highly mobile ad hoc networks such as
VANET [16]. Many reactive routing protocols have been
proposed so far but in this section we briefly described
about Ad Hoc On Demand Distance Vector Routing
(AODV) and Ad-hoc On-demand Multipath Distance
Vector Routing (AOMDV). Moreover we check the
suitability of these protocols for VANET.
ISSN (Online) 2278-1021
ISSN (Print) 2319-5940
International Journal of Advanced Research in Computer and Communication Engineering
Vol. 4, Issue 5, May 2015
Copyright to IJARCCE DOI 10.17148/IJARCCE.2015.4585 391
2.1 Ad Hoc On Demand Distance Vector Routing-
AODV
Ad Hoc On Demand Distance Vector Routing (AODV) is
an example of pure reactive routing protocol. AODV
belongs to multihop type of reactive routing. AODV
routing protocol works purely on demand basis when it is
required by network, which is fulfilled by nodes within the
network. Route discovery and route maintenance is also
carried out on demand basis even if only two nodes need
to communicate with each other. AODV cuts down the
need of nodes in order to always remain active and to
continuously update routing information at each node. In
other words, AODV maintains and discovers routes only
when there is a need of communication among different
nodes. AODV uses an efficient method of routing that
reduces network load by broadcasting route discovery
mechanism and by dynamically updating routing
information at each intermediate node. Change in topology
and loop free routing is maintained by using most recent
routing information lying among the intermediate node by
utilizing Destination Sequence Numbers of DSDV.
2.2 Ad Hoc On Demand Multipath Distance
Vector Routing- AOMDV
The AOMDV [19] [20] [21] routing protocol is an
extension of AODV. It is a reactive (on-demand) routing
protocol as compared to proactive OLSR protocol. Thus
the route is calculated only when needed not in advance as
in OLSR protocol. Like AODV it also involves two
methods: route discovery and route maintenance. But it is
multi-path routing protocol as compared to single path
based AODV protocol. Therefore, it is suitable for highly
dynamic ad-hoc networks like vehicular ad-hoc networks
where network partitioning and route breakdown occur
very frequently. For dealing with such network scenario
AOMDV protocol determines multiple paths during the
procedure of route discovery. As a result in case of link
failure in the network there is no need to find the new
route every time due to availability of other routes while
the AODV protocol require an additional burden related
with the route discovery procedure to be invoked every
time to find the new route whenever route breaks causing
a delay in data transfer. So AOMDV is said to be an
improved form of AODV routing protocol.
3. Hybrid Routing
Hybrid routing combines characteristics of both reactive
and proactive routing protocols to make routing more
scalable and efficient [16]. Mostly hybrid routing
protocols are zone based; it means the number of nodes is
divided into different zones to make route discovery and
maintenance more reliable for MANET. Haas and
Pearlman [19] proposed a hybrid routing protocol and
named it as ZRP (Zone routing protocol). The need of
these protocols arises with the deficiencies of proactive
and reactive routing and there is demand of such protocol
that can resolve on demand route discovery with a limited
number of route searches. ZRP limits the range of
proactive routing methods to neighboring nodes locally,
however ZRP uses reactive routing to search the desired
nodes by querying the selective network nodes globally
instead of sending the query to all the nodes in network.
ZRP uses ―Intrazone‖ and Interzone‖ routing to provide
flexible route discovery and route maintenance in the
multiple ad hoc environments. Interzone routing performs
route discovery through reactive routing protocol globally
while intrazone routing based on proactive routing in order
to maintain up-to-date route information locally within its
own routing range [19]. The overall characteristic of ZRP
is that it reduces the network overhead that is caused by
proactive routing and it also handles the network delay
that is caused by reactive routing protocols and perform
route discovery more efficiently. The drawback of ZRP is
that it is not designed for such environments in which the
nodes behavior is highly dynamic and rapid changes in
topology such as VANET. In other words we can say this
routing protocol is specifically designed for such networks
where nodes are not highly mobile and network size is
depend on limited number of nodes. Pure proactive or
reactive routing protocols can be suitable to some extent in
a highly dynamic environment like VANET as compared
to Hybrid routing.
Fig 2: VANET routing protocols classification
IV. GEOGRAPHIC (POSITION ) BASED
ROUTING
In geographic (position-based) routing, the forwarding
decision by a node is primarily made based on the position
of a packet’s destination and the position of the node’s
one-hop neighbors. The position of the destination is
stored in the header of the packet by the source. The
position of the node’s one-hop neighbors is obtained by
the beacons sent periodically with random jitter (to
ISSN (Online) 2278-1021
ISSN (Print) 2319-5940
International Journal of Advanced Research in Computer and Communication Engineering
Vol. 4, Issue 5, May 2015
Copyright to IJARCCE DOI 10.17148/IJARCCE.2015.4585 392
prevent collision). Nodes that are within a node’s radio
range will become neighbors of the node. Geographic
routing assumes each node knows its location, and the
sending node knows the receiving node’s location by the
increasing popularity of Global Position System (GPS)
unit from an onboard Navigation System and the recent
research on location services (Flury, 2006; Li, 2000; Yu,
2004), respectively. Since geographic routing protocols do
not exchange link state information and do not maintain
established routes like proactive and reactive topology-
based routings do, they are more robust and promising to
the highly dynamic environments like VANETs. In other
words, route is determined based on the geographic
location of neighboring Figure 2 sub-classifies Geographic
routing into three categories of non-Delay Tolerant
Network (non-DTN), Delay Tolerant Network (DTN), and
hybrid. The non-DTN types of geographic routing
protocols do not consider intermittent connectivity and are
only practical in densely populated VANETs whereas
DTN types of geographic routing protocols do consider
disconnectivity. However, they are designed from the
perspective that networks are disconnected by default.
Hybrid types of geographic routing protocols combine the
non-DTN and DTN routing protocols to exploit partial
network connectivity.
IV. CONCLUSION
In this review paper we can conclude that MANET routing
protocols are not suited for VANET environment because
of their high mobility, distributed communication, road
pattern restrictions and self-organization and no
restrictions of network size. Also we have reviewed the
criteria on which different VANET protocols are
categorized. The classification based on routing
information used in packet forwarding is Topology based
routing and Geographic routing and this has been
discussed here.
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... VANET has some special characteristics that distinguish it from other mobile ad hoc networks; the most important characteristics that differentiate VANETs from MANETs are: high mobility, self-organization, distributed communication, road pattern restrictions, and no restrictions of network size. All these characteristics made VANETs environment a very challenging task for developing efficient routing protocols [4]. ...
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... Depending on protocols features and mechanism applied, VANETs routing protocols divided into topology-based, position-based, geo-cast based, broadcast, and cluster-based routing protocols [10], [15], [17]. While divided into three types: hierarchical routing, flat routing, and position-based routing depending on the network structures [13]. Depending on the routing methods they divided into two types proactive and reactive [21]. ...
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It is becoming increasingly difficult to locate someone who has not been exposed to wireless mobile technologies due to how quickly they are being adopted. To create a mobile adhoc network, these devices could be linked directly or indirectly using wireless channels. Routing in a network is the process of determining the best path for flow from a source to a destination. The fundamental issues with routing in VANETs are dynamic topology and unreliable connection statuses. Instead than broadcasting across the whole network, the routing mechanism focuses on individual routes. The ability to provide flexibility and scalability in routing is thus feasible. Experiments in VANET contexts, namely hand-held device-based VANETs, have shown benefits of the suggested routing technique. This allows us to evaluate our protocol in terms of packet delivery ratio, control overhead and end-to-end delay.
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Requiring low dissemination delays and thorough vehicles coverage in the vicinity of an emergency event, Vehicular Ad-hoc NETworks (VANETs) were considered as the most adapted communication network to support alert messages dissemination. With the advent of Cooperative ITS services, emerging vehicular networks are expected to increasingly rely on Vehicle to Infrastructure (V2I) communication links, which are expected to be nominally available, with some transient and time-limited connectivity losses. The presence of V2I links paves the way to centralized network control, which can leverage vehicle-related and contextual information provided by the cloud to make more informed decisions. This paper proposes an effective alert message dissemination procedure called LAMD (Location-based Alert Messages Dissemination) for emerging vehicular networks that combines V2I broadcasts with selected V2V (Vehicle to Vehicle) rebroadcasts. The originality of our scheme lies in the selection process of V2V rebroadcasts, which is based on vehicles’ location regarding predefined rebroadcast points selected by a centralized controller. This leads to very limited collisions, low delivery delays, and high information coverage with insignificant signaling and network overhead compared to legacy VANET based dissemination techniques.
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VANET (Vehicular ad-hoc network) is a formation of intelligent vehicles with the plan to defeat the transportation issue and consequently diminishes the accident proportion. Since VANET is in like way a sort of MANET enclosed by human-driven center points, the social idea can be utilized to comprehend the routing decisions in VANET. This propels investigators to procure the possibility of Social Network Analysis (SNA) to develop routing plans. The serious issue in any system is the drop of parcel. Social characteristics based framework similarly face such issues which results in wasteful message conveyance. In this paper, grey wolf optimization is applied on social based routing scheme for fixed line VANET with the end goal to diminish the drop of parcel and enhance the throughput of the network. This is made possible with system centrality analysis by shapely value which enhances the choice by wolf optimization approach. Other than this, comparison is done between the social based fixed line routing scheme and the proposed work with GWO. The conduct of the utilizing nodes availability by its centrality calculation will then be observed. The parameters utilized in this paper to quantify the viability of the optimized routing scheme are Throughput,
Conference Paper
In full swing for a few years, Internet of Things (IoT) has affected many different sectors, including the automobile sector. IoT refers to the ability of physical object (such as a Vehicles) to communicate with a virtual object (such as a network of several vehicles). A question therefore arises: what impact will IoT have on the automotive world in the short term? From driving assistance to the improvement of autonomous Vehicles, via vehicle-to-vehicle communication, discover all that the Internet of Things could change in the automotive world. The problem is to study the availability, the reliability and the robustness of the communications between the agents of The Internet of Vehicles (IoVs). The dynamic nature of this kind of network presents communications constraints, namely frequent disconnections that can be an obstacle for the execution of applications in a vehicle. Indeed, some vehicles are sometimes isolated without the possibility of transmission and reception for an indefinite period of time. This situation affects the quality of service offered by IoV and therefore its usefulness. This paper first gives the impact of selecting Gytar parameters and performance comparison between GyTAR, and IGRP.
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This chapter presents some definitions of vehicle networks, application areas, communication technologies and barriers that disrupt communications and deteriorate quality of service (QoS) in the Internet of Vehicles (IoV). Next, it describes the latest developments in vehicular networks, the axes of research concerning the layered architecture of the IoV and an overview of the work being conducted pertaining to multi‐hop and reactive routing protocols. The chapter further gives a detailed explanation of the authors' routing protocol for IoV communications. This is made up of three different phases: the estimation of contact duration and load balancing, the use and updating of communication anomaly logs and hop‐by‐hop routing calculation. The goal of the routing algorithm proposed is to find a solution for one‐to‐one communications between a mobile source and a fixed or a mobile source, via intermediary vehicles, as part of the application of the IoV on a one‐dimensional plane.
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Vehicular Ad Hoc Networks (VANETs) are characterized by highly speed nodes, highly dynamic topology and frequent link disconnections. This raises a number of challenges especially in the field of data dissemination. Our study focuses on Geocast routing which consists of routing a message from a unique source vehicle to all vehicles located in a well geographically defined destination area called ZOR (Zone Of Relevance). In this work, we introduce some existing Geocast routing protocols for VANETs as well as a classification of these protocols based on the relay selection technique they use. We then provide a comparison of these protocols according to different criteria. While in literature ZORs are often assumed to be of any form and still chosen according to the scenarios and motivation needs of the authors [1], we consider a ZOR as a set of sub-ZORs and we choose simple geometrical forms for each sub-ZOR so that they would be easy to implement and to represent mathematically. We provide a geometrical vision angles based technique to define if two sub-ZORs are in the same direction in order to send them a single message, and hence, reduce messages overhead. Finally, we introduce a new routing protocol in Sub-ZORs (GeoSUZ) for VANETs based on our geometrical vision angles and greedy forwarding techniques. We compare GeoSUZ to GPSR routing protocol [3] and some numerical results show a significant gain in term of number of messages sent over the network.
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In this paper, we study the performance of route query control mechanisms for the Zone Routing Protocol (ZRP) for ad hoc networks. ZRP proactively maintains routing information for a local neighborhood (routing zone), while reactively acquiring routes to destinations beyond the routing zone. This hybrid routing approach can be more efficient than traditional routing schemes. However, without proper query control techniques, ZRP cannot provide the expected reduction in the control traffic. Our proposed query control schemes exploit the structure of the routing zone to provide enhanced detection and prevention of overlapping queries. These techniques can be applied to single-channel or multiple-channel ad hoc networks to improve both the delay and control traffic performance of ZRP. Our query control mechanisms allow ZRP to provide routes to all accessible network nodes, with less control traffic than purely proactive link state or purely reactive route discovery, and with less delay than conventional flood searching. Index Terms- ad-hoc network, routing protocol, routing zone, ZRP, zone routing protocol, proactive routing, reactive routing, hybrid routing, bordercast, query control I.
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Vehicular Ad Hoc Networks (VANET) is a subclass of Mobile ad hoc networks which provides a distinguished approach for Intelligent Transport System (ITS). The survey of routing protocols in VANET is important and necessary for smart ITS. This paper discusses the advantages / disadvantages and the applications of various routing protocols for vehicular ad hoc networks. It explores the motivation behind the designed, and traces the evolution of these routing protocols. F inally the paper concludes by a tabular comparison of the various routing protocols for VANET.
Chapter
The chapter provides a survey of routing protocols in vehicular ad hoc networks. The routing protocols fall into two major categories of topology-based and position-based routing. The chapter discusses the advantages and disadvantages of these routing protocols, explores the motivation behind their design and trace the evolution of these routing protocols. Finally, it concludes the chapter by pointing out some open issues and possible direction of future research related to VANET routing.
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VANET (Vehicular Ad-hoc Network) is an emerging new technology with some unique characteristics that makes it different from other ad hoc network. Due to rapid topology changing and frequent disconnection it is also difficult to design an efficient routing protocol for routing data among vehicles, called V2V or vehicle to vehicle communication and vehicle to road side infrastructure, called V2I. Because of road accident daily occurrence VANET is one of the influencing areas for the improvement of Intelligent Transportation System (ITS) which can increase road safety and provide traffic information etc. The existing routing protocols for VANET are not efficient to meet every traffic scenarios. Suitable routing protocols are required to establish communication between vehicles in future for road safety. In this paper, we focus on the merits and demerits of routing protocols which will help to develop new routing protocols or improvement of existing routing protocol in near future.
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The 1990s have seen a rapid growth of research interests in mobile ad hoc networking. The infrastructureless and the dynamic nature of these networks demands new set of networking strategies to be implemented in order to provide efficient end-to-end communication. This, along with the diverse application of these networks in many different scenarios such as battlefield and disaster recovery, have seen MANETs being researched by many different organisations and institutes. MANETs employ the traditional TCP/IP structure to provide end-to-end communication between nodes. However, due to their mobility and the limited resource in wireless networks, each layer in the TCP/IP model require redefinition or modifications to function efficiently in MANETs. One interesting research area in MANET is routing. Routing in the MANETs is a challenging task and has received a tremendous amount of attention from researches. This has led to development of many different routing protocols for MANETs, and each author of each proposed protocol argues that the strategy proposed provides an improvement over a number of different strategies considered in the literature for a given network scenario. Therefore, it is quite difficult to determine which protocols may perform best under a number of different network scenarios, such as increasing node density and traffic. In this paper, we provide an overview of a wide range of routing protocols proposed in the literature. We also provide a performance comparison of all routing protocols and suggest which protocols may perform best in large networks.
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We present an overview of ad hoc routing protocols that make forwarding decisions based on the geographical position of a packet's destination. Other than the destination's position, each node need know only its own position and the position of its one-hop neighbors in order to forward packets. Since it is not necessary to maintain explicit routes, position-based routing does scale well even if the network is highly dynamic. This is a major advantage in a mobile ad hoc network where the topology may change frequently. The main prerequisite for position-based routing is that a sender can obtain the current position of the destination. Therefore, previously proposed location services are discussed in addition to position-based packet forwarding strategies. We provide a qualitative comparison of the approaches in both areas and investigate opportunities for future research
Dedicated Short Range Communication (DSRC) transmission equipment (500 kbit/s / 250 kbit/s) operating in the 5, 8 GHz Industrial, Scientific and Medical (ISM) band, ETSI Std
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Road Transport and Traffic Telematics (RTTT); Dedicated Short Range Communication (DSRC) transmission equipment (500 kbit/s / 250 kbit/s) operating in the 5, 8 GHz Industrial, Scientific and Medical (ISM) band, ETSI Std. EN 300 674, 2006.
Uzcátegui -WAVE: a tutorial‖ IEEE Communications Magazine
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NoW -Network on Wheels: Project Objectives, Technology and Achievements
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A. Festag, G. Noecker, M. Strassberger, A. Lübke, B. Bochow, M. Torrent-Moreno, S. Schnaufer, R. Eigner, C. Catrinescu, and J. Kunisch. NoW -Network on Wheels: Project Objectives, Technology and Achievements. In Proceedings of 6th International Workshop on Intelligent Transportation (WIT 2008), Hamburg, Germany, Mar 2008. Available at: http://www.elib.dlr.de/48380/1/C2CCC_manifesto_v1.1.pdf