|Journal of Sensors||Volume 2017 ,2017-01-11|
|Trajectory-Based Hierarchical Adaptive Forwarding in Vehicular Ad Hoc Networks|
|Hao Wang 1 Liangyin Chen 1 Shijia Liu 1 Songtao Fu 1 Qian Luo 2 Feng Yin 3 Limin Sun 4 Zhanghua Li 5|
|Received 2016-08-25, accepted for publication 2016-12-19, Published 2016-12-19|
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.
Copyright © 2017 Hao Wang et al. 2017
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.
The model hypothesis sketch.
A transmission section model for time estimation.
A simple example of hierarchical topology.
Forward path diagram.
The increase range of schematic diagram.
The performance of the algorithms under different traffic flow.
The performance of the algorithms under different vehicle speed.
The performance of the algorithms under different speed deviation.
The performance of the algorithms under different path deviation.
Zhanghua Li.Department of Engineering Physics, Institute of Public Safety Research, Tsinghua University, Beijing 100084, China, firstname.lastname@example.org
Hao Wang,Liangyin Chen,Shijia Liu,Songtao Fu,Qian Luo,Feng Yin,Limin Sun,Zhanghua Li. Trajectory-Based Hierarchical Adaptive Forwarding in Vehicular Ad Hoc Networks. Journal of Sensors ,Vol.2017(2017)
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