Routing in VANET’s City Scenario using Back-bone Node Hop Greedy Algorithm
|International Journal of Engineering Trends and Technology (IJETT)|
|© 2014 by IJETT Journal|
|Year of Publication : 2014|
|Authors : S. B. Kulkarni , U. P. Kulkarni , Sunil Begumpur
S. B. Kulkarni , U. P. Kulkarni , Sunil Begumpur. "Routing in VANET’s City Scenario using Back-bone Node Hop Greedy Algorithm", International Journal of Engineering Trends and Technology (IJETT), V15(9),466-476 Sep 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Using advanced WLAN technologies; vehicular ad hoc networks (VANETs) have become useful and valuable for their wide variety of unique applications, such as safety on roads, multimedia content sharing, etc. VANETs are constrained by the high mobility of vehicles and the frequent connectivity problems. Destination positions can be found using flooding in most of the protocols in city environments. Further, in the case of sparse and void regions, recovery strategies are used which increases hop count. The minimum weighted algorithm based on distance or connectivity to select intermediate intersections are adopted in some geographic routing protocols. However, the shortest path or the path with higher connectivity may include numerous intermediate intersections. The path with higher hop counts has maximum hop counts. In this paper, we hereby propose a hop greedy routing scheme that yields a routing path with the minimum number of intermediate intersection nodes while taking connectivity into consideration. Moreover, we introduce back-bone nodes that play a key role in providing connectivity status around an intersection. Apart from this, by tracking the movement of source as well as destination, the back-bone nodes enable a packet to be forwarded in the changed direction. Simulation result shows the benefits of the proposed routing strategy in terms of high packet delivery ratio, low packet failure ratio and shorter end-to-end delay.
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Back-bone Assisted Hop Greedy (BAHG), Destination discovery, greedy routing, unicast routing, Vehicular ad hoc network (VANET).