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Article type: Research Article
Authors: Deng, Zuoxiang; | Zhu, Yanmin; | Li, Minglu;
Affiliations: Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China | Shanghai Key Laboratory of Scalable Computing and Systems, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
Note: [] Corresponding author: Zuoxiang Deng, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Dongchuan Road No. 800, Minhang District, Shanghai, 200240, P. R. China. E-mail: dengzuoxiang@sjtu.edu.cn
Abstract: Efficient routing in vehicular networks is one of the most challenging problems because of frequent network disruption and fast topological change. Some replication-based routing protocols such as epidemic routing have been proposed. However, these existing replication-based routing protocols cannot achieve high delivery ratio, low end-to-end delay and low delivery cost. In this paper, we design an efficient replication-based routing protocol called ERR for efficient routing in vehicular networks. ERR is a fully distributed protocol, and it has the following three desirable design objectives: first, ERR delivers the majority of the messages generated in time-to-live; second, ERR achieves low end-to-end delay; third, ERR introduces as little delivery cost as possible. To achieve these design objectives, ERR adopts an adaptive strategy for the number of copies of a message in a distributed fashion. In addition, we propose two forwarding rules for a message carrier with some copies to decide whether it should forward the message when it meets a vehicle. Based on real traces of vehicles, we have conducted real trace-driven simulations. Performance results demonstrate that ERR can increase delivery ratio, decrease end-to-end delay, and decrease delivery cost, when compared with four other alternative protocols.
Keywords: Vehicular networks, routing, inter-contact time, replication, forwarding rules
DOI: 10.3233/JHS-140485
Journal: Journal of High Speed Networks, vol. 20, no. 1, pp. 29-40, 2014
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