A Machine Learning Approach to Beaconing for Vehicular Ad Hoc Network (A Review)
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 4
Abstract
Abstract: Vehicular ad hoc network (VANET) are classified as an application of mobile ad hoc network (MANET) that has the potential in improving road safety and in providing traveller comfort.VANET is an emerging field of technology that allows vehicles to communicate together in the absence of fixed infrastructure. The basic premise of VANET is that in order for a vehicle detect other vehicles in the neighborhood.This cognizance, awareness of other vehicles, can be achieved through beaconing. In the near future, many VANET applications will rely on beaconing to enhance information sharing. With respect to change in traffic we have to create an adaptive beaconing rate control mechanism to enable a compromise between network load and precise awareness between vehicles. In this paper we learn to improve the efficiency and accuracy by machine learning approach to beacons.
Authors and Affiliations
Ramanjeet Kaur Kansla , Khushboo Bansal
Keywords
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- EP ID EP105210
- DOI 10.9790/0661-16445255
- Views 98
- Downloads 0
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