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Information 2017, 8(4), 140; doi:10.3390/info8040140

An Opportunistic Routing for Data Forwarding Based on Vehicle Mobility Association in Vehicular Ad Hoc Networks

1,2,†,* and 1,2,†
School of Software, Central South University, Changsha 410075, China
“Mobile Health” Ministry of Education-China Mobile Joint Laboratory, Changsha 410083, China
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Received: 22 September 2017 / Revised: 19 October 2017 / Accepted: 23 October 2017 / Published: 7 November 2017
(This article belongs to the Section Information Applications)
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Vehicular ad hoc networks (VANETs) have emerged as a new powerful technology for data transmission between vehicles. Efficient data transmission accompanied with low data delay plays an important role in selecting the ideal data forwarding path in VANETs. This paper proposes a new opportunity routing protocol for data forwarding based on vehicle mobility association (OVMA). With assistance from the vehicle mobility association, data can be forwarded without passing through many extra intermediate nodes. Besides, each vehicle carries the only replica information to record its associated vehicle information, so the routing decision can adapt to the vehicle densities. Simulation results show that the OVMA protocol can extend the network lifetime, improve the performance of data delivery ratio, and reduce the data delay and routing overhead when compared to the other well-known routing protocols. View Full-Text
Keywords: VANETs; opportunistic routing; vehicle association; data forwarding VANETs; opportunistic routing; vehicle association; data forwarding

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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. (CC BY 4.0).

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Wang, L.; Chen, Z.; Wu, J. An Opportunistic Routing for Data Forwarding Based on Vehicle Mobility Association in Vehicular Ad Hoc Networks. Information 2017, 8, 140.

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