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An Intelligent Greedy Position Based Multi-Hop Routing Algorithm for Next Hop Node Selection in VANETs

An Intelligent Greedy Position Based Multi-Hop Routing Algorithm for Next Hop Node Selection in VANETs

Abstract

Attempts have been made to discuss how successfully data can be delivered in vehicular ad hoc network which is a special kind of ad hoc network distinguished by its node movement characteristics, hybrid network architectures, and new application scenarios. The research shows that the application of fuzzy logic techniques in multi-hop greedy position-based routing helps in successfully delivering data on roads. A mathematical model has been developed and proposed a fuzzy logic-based greedy routing algorithm (FLGR) for next-hop node selection in vehicular network. FLGR was coded and simulated in MATLAB 7.0 in order to evaluate its performance in terms of average packet delivery ratio and average hop count. The results show that FLGR performs better as compared to other next-hop neighbor node selection methods and helps in delivering data successfully.

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