Efficient Communications in V2V Networks with Two-Way Lanes Based on Random Linear Network Coding

Yiqian Zhang; Tiantian Zhu; Congduan Li

doi:10.3390/e25101454

Efficient Communications in V2V Networks with Two-Way Lanes Based on Random Linear Network Coding

Entropy (Basel). 2023 Oct 17;25(10):1454. doi: 10.3390/e25101454.

Authors

Yiqian Zhang^{1

2}, Tiantian Zhu¹, Congduan Li^{1

2}

Affiliations

¹ School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China.
² Shenzhen Key Laboratory of Navigation and Communication Integration, Shenzhen 518107, China.

Abstract

Vehicle-to-vehicle (V2V) communication has gained significant attention in the field of intelligent transportation systems. In this paper, we focus on communication scenarios involving vehicles moving in the same and opposite directions. Specifically, we model a V2V network as a dynamic multi-source single-sink network with two-way lanes. To address rapid changes in network topology, we employ random linear network coding (RLNC), which eliminates the need for knowledge of the network topology. We begin by deriving the lower bound for the generation probability. Through simulations, we analyzed the probability distribution and cumulative probability distribution of latency under varying packet loss rates and batch sizes. Our results demonstrated that our RLNC scheme significantly reduced the communication latency, even under challenging channel conditions, when compared to the non-coding case.

Keywords: dynamic topology; latency reduction; random linear network coding; vehicle-to-vehicle communication.

Grants and funding

This work was supported by the National Science Foundation of China (NSFC) with grant Nos. 62271514 and the Science, Technology and Innovation Commission of Shenzhen Municipality with grant Nos. JCYJ20210324120002007, and ZDSYS20210623091807023.