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Evaluation of Active Position Detection in Vehicular Ad Hoc Networks
2014 International Joint Conference on Neural Networks
  • K. Penna, Oakland University
  • V. Yalavarthi, Oakland University
  • Huirong Fu, Oakland University
  • Ye Zhu, Cleveland State University
Document Type
Conference Proceeding
Publication Date
1-1-2014
Disciplines
Abstract

Vehicular Ad Hoc Network (VANET) is a promising technology in which vehicle-to-vehicle and vehicle-to-roadside infrastructure wireless communications can be achieved. This is important to obtain road safety for vehicles and drivers and collision avoidance. A falsified position by malicious users is one of the important issues in VANETs. Vehicle position identification is one of the important aspects in establishing authentication and security between inter vehicular communication exchange. Deepa et al presented two approaches for verifying sender's position in a multi-hop network. Their first proposed algorithm relies on signal propagation time for verifying the position. Their second proposed algorithm verifies the position information with the help of base stations located in the coverage area of the vehicular network The main contribution of our work is validating their approach by running an ns2 simulation with dynamic number of nodes in various mobility scenarios such as urban, rural, Manhattan. We have also generated different scenarios with variable velocity ranges and simulated the VANET. We have also considered the effect of delay, jitter in our simulation and observed that the proposed approach is robust and a feasible solution to the problem of Active Position detection.

DOI
10.1109/IJCNN.2014.6889978
Citation Information
K. Penna, V. Yalavarthi, Huirong Fu and Ye Zhu. "Evaluation of Active Position Detection in Vehicular Ad Hoc Networks" 2014 International Joint Conference on Neural Networks (2014) p. 2234 - 2239
Available at: http://works.bepress.com/ye_zhu/23/