Table 3 - uploaded by Hermann de Meer
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Source publication
Current mobility management systems are operator centralized, and focused on single link technologies. In heterogeneous wireless
mesh networks, vertical handovers could be a lengthy procedure. In order to support context-aware handovers between heterogeneous
wireless cells, the mobile user needs to access information managed by administratively sep...
Contexts in source publication
Context 1
... simulation model assumptions are summarized in Table 3: Given the geographic area of a medium-sized city, heterogeneous wireless cells are modeled as randomly distributed cells. A wireless cell of radius r is fitted inside a square grid cell of size 2r as already explained in Section 4. Similar to 15, 50 wireless cells are distributed randomly for each 1km 2 . ...
Context 2
... wireless cell of radius r is fitted inside a square grid cell of size 2r as already explained in Section 4. Similar to 15, 50 wireless cells are distributed randomly for each 1km 2 . That makes about 13400 access networks for the whole 268km 2 modeled city (See Table 3). Since wireless cells are heterogeneous in nature, we consider different cell sizes. ...
Context 3
... this purpose, the network topology and object models are those found in Table 3, Table 4, and in Table 5. The number of peers covering the urban zone is initially set to 2 10 , i.e. m=10 in Table 3. ...
Context 4
... this purpose, the network topology and object models are those found in Table 3, Table 4, and in Table 5. The number of peers covering the urban zone is initially set to 2 10 , i.e. m=10 in Table 3. For the same distance of 4080m, the number of query boxes needed are given in Table 4, whereas the frequency of the queries is τ ∆ . ...
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The ever increasing mobile data traffic has made the support for seamless mobility an imperative requirement for network providers. To deliver enhanced mobility experience, the handoff process must avoid interruption of connections while preserving QoS and QoE at acceptable levels. However, traditional mobility strategies based on the 802.11 standa...
Citations
... In [30] , the authors discuss the application of a cognitive radio overlay-based solution over WMNs capable of listing the surrounding wireless channel, making decisions on the fly, and encoding data using a variety of schemes in order to better explore the channel characteristics and to mitigate the interference. In [31], the authors describe a Peer-to-Peer (P2P) overlay-based solution to locate the resources of the different available wireless networks. The overlay organizes wireless networks across traditional network operator , or technology boarders. ...
Wireless Mesh Networks (WMNs) have gained increasing attention as an attractive means to provide connectivity in complement
to access as offered by regular Internet Service Providers (ISPs). Such a grass-root technique, however, often suffers from
detrimental operating conditions and poor quality. Network virtualization, on the other hand, has been widely advocated as
a possibility to overcome what has often been referred to as the ossification of the Internet. Combining the concept of network
virtualization with WMN technology, therefore, appears to be promising and desirable. It is envisioned that well managed multiple
Virtual Networks (VNs) may overcome shortcomings of WMNs on the one hand, and extend the reach of the Internet beyond its
current confinement into the realm and control of the user on the other hand. In this paper, we argue for a context-based
approach for an effective means to extend multi-VNs from the Internet domain into WMN environments. We describe both mobility
and preferences as context models in order to create virtualized WMNs based on these types of context models. As a result, it is envisioned to achieve a comprehensive
connectivity coverage, accompanied by high assurance in network quality. We further present a distributed solution to manage
multi-VNs, and a mobility-aware context use case to demonstrate the usefulness of our approach.
KeywordsWireless mesh networks–Network virtualization–Context–Management and control–Mobility prediction
... 1. Context modeling dealing with context ontology [8]. 2. A suitable architecture for context sensing and context retrieval, dealing with context management, sensing, and storage [5,8]. 3. Decision algorithms which have been centered around fuzzy logic, and multiple criteria optimization algorithms [9,1]. ...
... 3. Decision algorithms which have been centered around fuzzy logic, and multiple criteria optimization algorithms [9,1]. In [3,4] I propose to achieve context management with the help of a distributed mobile LBS. Mobile LBS require service provision which takes user movement into account. ...
... Movement tracking is usually done with the help of a tracking hardware like GPS, which makes the user aware of its location. Assuming that the user can use the movement tracking capabilities context sensing is adapted to the user movement [3]. Based on the user's context, the network context could be queried. ...
The recent emergence of a whole plethora of new wireless technologies, such as IEEE802.11, IEEE802.16, and UMTS, etc, also offers mobile us-ers more diversity and possibilities for cheaper and opportunistic access to the Internet. In next genera-tion Internet, media independence such as that pro-posed in IEEE 802.21, requires vertical handover between co-located heterogeneous wireless net-works. Handover is, however, triggered through costly beaconing mechanisms which allow both end-device and networks to discover each other, and to detect movement. If the mobile device is made location-aware (e.g. GPS-equipped mobile phones with navigation systems), mobility could be supported by the location-awareness, and a vertical handover could be triggered without relying on fre-quent beacons on multiple wireless interfaces. As a result, less energy is required by the mobile node to discover wireless diversity. Instead, the mobile user discovers the network coverage via a decentralized LBS, which is designed in this work. The LBS man-ages location-based meta-data describing network topologies and their functionality. The description templates are managed on an overlay system con-necting distributed location servers. The overlay network, which connects distributed LBS systems, is structured in way to limit the overhead introduced by the query. The structure of the network is mapped to the data structure. A design methodol-ogy is developed to ensure the localized query over-head, while taking mobility into account.
Data communication in mobile and cellular environments is still in its infancy. Data traffi c generated by mobile users lacks
the diversity of the fi xed Internet. On the one hand, the limited bandwidth available for mobile users is still a major hurdle
for some Internet applications. On the other hand, a universal inexpensive mobility solution built to support the different
wireless architectures while offering service ubiquity is still missing. Despite this, some applications such as location-based
services (LBS) have found a natural application domain by mobile users. Data traffi c, in such applications, is generated
by users accessing information linked to their movement context. To improve access to these services while limiting the effects
of mobility, communication should occur near the edge, hile staying localized. In this paper, a distributed approach is proposed
for mediating location information between heterogeneous geographic information severs in a peer-to-peer manner. A design
methodology is proposed to ensure the localized impact of mobility-lead communication overhead. Both numerical and imulative
analyses are carried out.
