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Journal of Sensors
Volume 2017, Article ID 4236789, 8 pages
https://doi.org/10.1155/2017/4236789
Research Article

Trajectory-Based Hierarchical Adaptive Forwarding in Vehicular Ad Hoc Networks

1School of Computer Science, Sichuan University, Chengdu 610225, China
2The Second Research Institute of General Administration of Civil Aviation of China, Information Technology Branch, Chengdu 610042, China
3School of Computer Science and Technology, Southwest University for Nationalities, Chengdu 610041, China
4Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100864, China
5Department of Engineering Physics, Institute of Public Safety Research, Tsinghua University, Beijing 100084, China

Correspondence should be addressed to Zhanghua Li; nc.ude.auhgnist.sliam@51il-hz

Received 25 August 2016; Revised 7 November 2016; Accepted 19 December 2016; Published 11 January 2017

Academic Editor: Stephane Evoy

Copyright © 2017 Hao Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper proposes a Trajectory-Based Hierarchical Adaptive Forwarding (THAF) scheme, tailored and optimized for the efficient multihop vehicle-to-vehicle (v2v) data delivery in vehicular ad hoc networks. We utilize the trajectories of vehicles provided by GPS-based navigation systems to predict forward delay and access area in a privacy-preserving manner. Different from existing trajectory-based forwarding schemes, we establish a hierarchical VANET topology to optimize forwarding path and adopt adaptive diffusion strategy to forward data in light-traffic situations. Through theoretical analysis and extensive simulation, it is shown that our design performs better than the existing schemes.