A Review on Localization and Detection of Nodes in VANET
Varun Chand H1, Karthikeyan J2, Simy Mary Kurian3
1Varun Chand H, Research Scholar, VIT University, Vellore, India. And, Assistant Professor, Department of Information Technology, College of Engineering, Vadakara, Calicut, Kerala.
2Dr. Karthikeyan J, Assistant Professor, School of Information Technology and Engineering, VIT University, Vellore, India.
3Simy Mary Kurian, Assistant Professor, Department of Computer Science, Mangalam College of Engineering, Kottayam, India.
Manuscript received on 20 April 2019 | Revised Manuscript received on 24 May 2019 | Manuscript published on 30 May 2019 | PP: 1374-1377 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3214058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In modern world, the numbers of vehicles are increasing unpredictably and as a result accidents, traffic violations; vehicle theft etc also increased a lot. Tracking exact location of each vehicle (node) may be useful in solving many such problems. From urban to rural the density of traffic, width of the road, network coverage etc may change; this makes localization of vehicle a challenging task. The construction of transport infrastructure does not provide an amicable solution to these problems and sometimes it even makes such problems more severe. This paper focuses on the survey of location detection for each vehicle as well as for the pedestrians along with various routing strategies in a VANET.
Index Terms: VANET, Localization, Pedestrians, Intelligent Transportation System
Scope of the Article: Transportation Engineering