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Random ad-hoc network 

Random ad-hoc network 

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A directional routing approach for multihop ad-hoc networks, is presented which has been applied to two on-demand routing protocols: namely dynamic source routing (DSR) and ad-hoc on-demand distance vector routing (AODV). Both DSR-based and AODV-based directional routing protocols are designed to balance the tradeoff between co-channel interference...

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Citations

... Much research has been done on bandwidth-limited wireless ad hoc networks to minimize the number of routing protocol control messages or reduce their broadcast scope [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Doing so improves the bandwidth utilization efficiency; a smaller fraction of messages propagating in the network is occupied by control messages, and a good fraction goes to data delivery instead. ...
... Doing so improves the bandwidth utilization efficiency; a smaller fraction of messages propagating in the network is occupied by control messages, and a good fraction goes to data delivery instead. For this paper, the different bandwidthefficient protocols have been divided into 2 main classifications; Those that channel/direct control and data messages between sources and destinations [1][2][3][4][5][6][7][8][9] and those that do not have directional forwarding [10][11][12][13][14][15][16]. From these studies, there appears to be a gap in directional routing protocols that do not use Global Positioning System (GPS) or complex directional antennas, which is the inspiration behind this paper. ...
... Some protocols take advantage of devices that have sophisticated directional antennas, beam forming and Multiple-Input-Multiple-Output (MIMO) capabilities [1][2][3][4]. Directional antennas concentrate their radiation pattern over a smaller angle, unlike omnidirectional antennas, which ideally have a uniform radiation pattern in all directions [1,30]. The ability to cast a message in a specific direction while avoiding other areas around the node is quite a bandwidth efficient. ...
... This will further enhance the achievable end-to-end throughput in multihop communication with efficient spatial reuse and reduced node power consumption. In other words, directional cognitive control and IoT application transmission will help to attain the increased end-to-end throughput by reducing the interference through directional antennas [21][22][23][24][25]. State-of-the-art routing protocols in "cognitive radio-based IoT networks" use omnidirectional transmission for application data (DATA/ACK) and cognitive control message exchange. ...
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... Our claim is established through performance analysis and simulation using OMNeT??. We also compare our proposed algorithm with two other routing algorithms for WSNs that are based on limited broadcasting with nodes having a 3-sector antenna [12] and the load gradient of the sensor nodes [33]. It is shown that the overall usage of nodes in our algorithm is lower than that of the other algorithms, and as such, no routing loop is formed. ...
... These algorithms have better node utilizations than that of the conventional routing. The authors in [12] proposed a modified version of AODV and DSR, where directional antennas were used to broadcast the data in a limited zone and were found to be energy efficient. We consider the routing algorithm [33] as well as the limited broadcast-based routing algorithm [12] for comparison with our proposed routing algorithm. ...
... The authors in [12] proposed a modified version of AODV and DSR, where directional antennas were used to broadcast the data in a limited zone and were found to be energy efficient. We consider the routing algorithm [33] as well as the limited broadcast-based routing algorithm [12] for comparison with our proposed routing algorithm. The performance of the proposed protocol is better than that of the existing two protocols with respect to the energy consumption, overhead, node usage and throughput. ...
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... Several research works have utilized the concept of direction-based in forwarding strategy for VANET as in [62,[79][80][81][82]. Directional Greedy forwarding strategy uses two forwarding strategies; position -based forwarding to determine nodes which are close to the packet's destination; in addition, directional-based forwarding aims to determine the nodes that are moving toward the packet's destination. ...
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... As the name implies, Directional Dynamic Source Routing (DDSR) [21] is the original DSR over directional antennas. The best route from the source node to the destination node is selected according to hop count, power budget and overlap count. ...
... In DAODV [21], positional information of the current node will be inserted into the RREQ and RREP. As shown in Figure 1, the source node A initiates the route discovery process to destination node J by broadcasting RREQ to its neighbor nodes. ...
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... ARC-AODV [51] is a directional AODV (Ad Hoc On Demand Vector) protocol with adaptive range control. DAODV [82] is another version of directional AODV. In both ARC-AODV and DAODV, route requests (RREQs) are broadcast and flooded in the entire network when the route between the source and the destination is still unknown. ...
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... ARC-AODV [51] is a directional ad hoc on-demand vector (AODV) protocol with adaptive range control. DAODV [82] is another version of directional AODV. In both ARC-AODV and DAODV, RREQs are broadcast and flooded in the entire network when the route between the source and the destination is still unknown. ...
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... B. Hu H. Gharavi [15] proposed a directional routing approach for two multi hop ad hoc networks namely AODV and DSR. It considers hop count, power budget and overlaps between adjacent beams for route discovery process. ...
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A mobile ad hoc network is networks which utilizes multi-hop radio relaying and are capable of operating without the support of any fixed infrastructure. Efficient dynamic routing is a challenge in such a network. On-demand routing protocol is widely developed in ad hoc networks because of its effectiveness and efficiency. In this paper, the significance of Ad hoc On-Demand Distance Vector (AODV) routing protocol, Load Balancing AODV, Modified AODV, Adaptive Secure AODV have been reviewed. The simulated parameters such as packet delivery ratio, throughput, end to end delay, routing overload and energy were taken in to consideration. The simulated results showed that the AODV protocol enhances the packet delivery ratio, throughput, decreases the routing overload and end to end delay. Keywords: Load Balancing(LB) AODV , Vector Routing Protocol (VRP), Ad Hoc On-Demand Trusted-Path Distance Vector (AOTDV) Routing Protocol.
... In basic DSR protocol, the route discovery phase is initiated to find a path between source and destination with minimum number of hops (Hu and Gharavi, 2007). However, another metric for the route establishment process is introduced here. ...
... In reactive ad hoc routing protocol DSR (Hu and Gharavi, 2007), two major phases are incorporated for successful multi-hop routing: route discovery and route maintenance. Furthermore, the phase of route discovery is split into two sub phases: RQ and RR. ...
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Efficiency of mobile ad hoc networks (MANETs) primarily rely on a set of quality of service (QoS) parameters such as bandwidth, delay, battery power etc. be guaranteed during the life time of application of the network. The support of these parameters can be more efficient with a cross-layer approach to design and implementation of routing protocols for MANETs. In fact, access mechanisms of radio channels significantly affect the QoS support and improvement of application performance. In this paper, we cross-layer routing issues and present an ad hoc routing protocol called CLDE, which incorporates the on-demand dynamic source routing (DSR) protocol in coordination with IEEE 802.11e MAC protocol (EDCA). The aim of this protocol is to find a path for a flow with lowest possible delay. In this approach, each node needs to estimate periodically the average transmission delay for delay-sensitive applications. This information is incorporated in routing control packets of DSR during route discovery. In order to address transient network characteristics due to new applications admitted to the network, we develop a buffer management scheme for the audio packets as per their end-to-end transfer delay and the current expiration delay. Simulation results depict the improved performance of our proposal for delay-sensitive applications.
... Interference between base stations is a major factor limiting the achievable throughput capacity in such networks. Most previously proposed multi-hop greedy routing algorithms, suggest using directional antennas [1] or power control mechanisms [2] to mitigate the effects of interference. Others take a centralized approach to routing thus rendering them impractical for large scale ad-hoc networks [3], [4]. ...
... However the algorithm only considers the use of omni-directional antennas. Although the algorithm proposed by [1] considers directional routing protocols, it takes a centralized approach like [3], [4] while minimizing the number of beam overlaps, power budget and the hop count among all paths between the source and the destination thus rendering it inefficient for large networks. ...
... However the algorithm only considers the use of omni-directional antennas. Although the algorithm proposed by [1] considers directional routing protocols, it takes a centralized approach like [3], [4] while minimizing the number of beam overlaps, power budget and the hop count among all paths between the source and the destination thus rendering it inefficient for large networks. The GLIF algorithm is scalable since it allows the ABS's to make localized greedy routing decisions using minimal topological information. ...
Conference Paper
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Cellular ad-hoc networks facilitate rapid deployment of familiar communication technology in hostile battlefield environments. They are comprised of randomly organized portable base stations that share the same frequency spectrum and cooperatively relay each other's traffic to centralized base stations. Such portable base stations have limited battery power and processing capabilities. Owing to its simplicity and minimal requirements, Geographic Greedy Forwarding (GGF) algorithms are generally well suited for cellular ad-hoc networks. But GGF algorithms are not interference aware. Interference between base stations is a major factor limiting the achievable throughput capacity in such networks. Most previously proposed multi-hop greedy routing algorithms, suggest using directional antennas or power control mechanisms to mitigate the effects of interference. Others take a centralized approach to routing thus rendering them impractical for large scale ad-hoc networks. In this paper we propose a Greedy Least Interference Forwarding (GLIF) algorithm that proactively avoids interference while using minimal network topology information. Simulations have shown that GLIF achieves throughput improvements over basic GGF algorithms that use directional antennas and power control mechanisms alone to avoid interference.