Opportunistic protocol based on social probability and resources efficiency for the intelligent and connected transportation system

Wang, Tong; Tang, Meng Bo; Song, Houbing; Cao, Y.; Khan, Zaheer

Abstract

© 2018 Elsevier B.V. In recent years, Intelligent and Connected Transportation Systems (ICTS) have become a practical and valuable alternative for wide variety of novel applications in road traffic safety. It can be utilized to guarantee road safety and create new forms of inter-vehicle communications. However, due to the high speed of vehicles, the topology of the network is highly dynamic and the network may be disconnected frequently, which will lead to a decline in communication performance. Delay Tolerant Networks (DTNs) follow the approach to store and forward the message. DTNs can adapt to the highly dynamic scenario, envisioned for communication in ICTS suffering from intermittent connection. In this paper, we propose the Social Probability And Resource Effective (SPARE) protocol to improve delivery ratio and minimize the consumption of network resources. In SPARE, we focus on considering four factors that include the nodal resources effective consumption, encounter probability, nodal historical encounter information and the number of messages carried by nodes. We use the nodes’ resources efficiency and encounter probability similarity to improve the delivery ratio of SPARE algorithm. In addition, SPARE applies the mechanism of dynamically managing messages to reduce network overhead. Finally, the simulation results show that SPARE achieves a higher delivery ratio and lower overhead ratio, compared to other protocols within resource constrained network situations.

Citation

Wang, T., Tang, M. B., Song, H., Cao, Y., & Khan, Z. (2019). Opportunistic protocol based on social probability and resources efficiency for the intelligent and connected transportation system. Computer Networks, 149, 173-186. https://doi.org/10.1016/j.comnet.2018.11.034

• Journal Article Type: Article
• Acceptance Date: Nov 29, 2018
• Online Publication Date: Dec 4, 2018
• Publication Date: Feb 11, 2019
• Deposit Date: Jan 3, 2019
• Publicly Available Date: Dec 5, 2019
• Journal: Computer Networks
• Print ISSN: 1389-1286
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 149
• Pages: 173-186
• DOI: https://doi.org/10.1016/j.comnet.2018.11.034
• Keywords: intelligent and connected transportation systems, delay tolerant networks, resources efficiency, social similarity, encounter probability
• Public URL: https://uwe-repository.worktribe.com/output/852378
• Publisher URL: http://dx.doi.org/10.1016/j.comnet.2018.11.034
• Additional Information: Additional Information : This is the author's accepted manuscript. The final published version is available here: http://dx.doi.org/10.1016/j.comnet.2018.11.034