By Salim Bitam
Vehicular Ad-Hoc Networks (VANETs) play a key position to increase clever Transportation platforms (ITS) aiming to accomplish street safeguard and to warranty wishes of drivers and passengers, as well as enhance the transportation productiveness. the most very important demanding situations of this type of networks is the information routing among VANET nodes which may be routed with excessive point of caliber of provider (QoS) to make sure receiving messages within the time. Then, the motive force can take the fitting determination to enhance the line protection. within the literature, there are a number of routing protocols for VANETs that are kind of trustworthy to arrive security standards. during this publication, we begin via describing all VANET uncomplicated innovations corresponding to VANET definition, VANET as opposed to cellular ad-Hoc community (MANET), architectures, routing definition and steps, caliber of carrier (QoS) for VANET Routing, Metrics of evaluate, Experimentation, and simulation of VANETs, mobility styles of VANET and so on. in addition, assorted routing protocols for routing in VANETs could be defined. we recommend major different types to be awarded: classical routing and bio-inspired routing. touching on classical VANET, major rules and all levels might be overviewed, in addition to, their sub-categories that are topological and geographical protocols. After that, we suggest a brand new classification known as bio-inspired routing that is encouraged by means of ordinary phenomenon equivalent to Ant colony, Bee existence, Genetic operators and so on. We current additionally, a few referential protocols as instance of every category.
In this e-book, we specialize in the assumption of ways to use bio-inspired precept into VANET routing to enhance street defense, and to make sure QoS of vehicular applications.
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Extra info for Bio-inspired Routing Protocols for Vehicular Ad-Hoc Networks
10. 3. Limitations of group-based mobility model Despite the good expected outcomes of this model’s category such as the reduced routing overhead, there are some limitations concerning the reality of the group-based models, where it is not always right that nodes in the same geographic group move in the same directions. Moreover, assumption about the network density was not considered in this category. 4. Prediction-based mobility models The prediction was considered in a new mobility category called predictionbased mobility models.
289–294, 2004. 2 Routing for Vehicular Ad Hoc Networks This chapter explains the basic concepts used in the routing process for vehicular Ad hoc networks. It presents various transmission modes that are used to distinguish different kinds of routing such as unicast, multicast and broadcast transmission modes. Moreover, four categories of VANET routing are highlighted on the basis of the route discovery principle of each category. Furthermore, this chapter illustrates the Quality-of-Service (QoS) metrics that are often used to evaluate the effectiveness of VANET routing.
MOVE framework Karnadi et al. [KAR 07] proposed a new framework called MOVE that allows users to generate rapidly realistic mobility models for VANET simulations. This software provides, as a result, a trace file of a realistic mobility model which can be immediately used by frequent network simulators, such as ns-2 [NS 13] and qualnet [QUA 13]. Two main entities that composed MOVE are the map editor and the vehicle movement editor. The Map Editor allows the road topology design which can be manually created by users, or introduced using real world map databases such as TIGER [TIG 13] or by Google Earth [GOO 13].
Bio-inspired Routing Protocols for Vehicular Ad-Hoc Networks by Salim Bitam