Journals Proceedings

International Journal of Artificial Intelligence and Neural Networks

Enhancing Greedy Routing using Fuzzy logic for Vehicular Ad hoc Networks



Intelligent Transportation Systems (ITS) has gain a lot of popularity due to much technological advancement in Vehicular Ad hoc Networks (VANETs). VANET provides safety and entertainment services to vehicle users. Therefore, constrained safety is a prominent feature for VANETs. Since the vehicular nodes typically moves fast than the nodes movement in other network such as Mobile Ad hoc Networks (MANETs), it is of great importance to design an efficient routing protocol to provide safety and comfort services to the passengers on the roads. Recently efforts have been put to use the concepts of fuzzy logic to help in the decision making process in VANETs. Fuzzy logic deals with reasoning that is approximate rather than fixed and exact. The fuzzy logic inference system became important and useful when the values of the decision criteria are not only vague but uncertain in nature. In this work, based on analysis of greedy routing for packet forwarding, we have proposed a Fuzzy Logic based Greedy Routing (FLGR) protocol. FLGR is a multihop routing protocol which is used to select the best next-hop node in multi-hop VANETs using fuzzy logic concept. We have considered two characteristics of a vehicle as an input metrics to fuzzy decision making systems. Based on the optimum function of simulation results, the FLGR effectively select the best next-hop node for further packet transmission in the network.

No fo Author(s) : 3
Page(s) : 11 - 15
Electronic ISSN : 2250-3749
Volume 5 : Issue 2
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