Optimisation strategy of roadside units deployment towards VANET localisation with dead reckoning. Issue 19 (6th November 2020)

• Record Type: Journal Article
• Authors: Zhang, Rui; Yan, Feng; Zhu, Yaping; Xia, Weiwe; Zhang, Shanjie; Shen, Lianfeng
• Is Part Of: IET communications. Volume 14:Issue 19(2020)
• Page Start: 3504
• Page End: 3511
• Publication Date: 2020-11-06
• Subjects: particle swarm optimisation -- vehicular ad hoc networks; optimisation strategy -- roadside units deployment -- VANET localisation -- dead reckoning -- vehicle ad‐hoc networks -- DR -- RSU‐based vehicle localisation -- RSUs deployment -- optimal RSU layout -- localisation accuracy -- average geometric dilution -- specific localisation region -- nonlinear recursive model -- optimisation problem -- average GDOP -- centre particle swarm optimisation algorithm -- VANET scenario; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2019.0814
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : In vehicle ad‐hoc networks (VANETs), the full coverage of roadside units (RSUs) is not necessary with the assistance of dead reckoning (DR) for the RSU‐based vehicle localisation. This study proposes an optimisation strategy of RSUs deployment, which seeks an optimal RSU layout ensuring the best localisation accuracy with a minimum number of RSUs. With the assistance of DR, first, the average geometric dilution of precision (GDOP) for a specific localisation region is derived through a non‐linear recursive model. Then the RSUs deployment is formulated into an optimisation problem, and the objective is as a function of the average GDOP and deploying interval. Finally, the optimisation problem is solved by a centre particle swarm optimisation (CPSO) algorithm. The convergence and stability of CPSO are evaluated via simulations. Furthermore, simulations also show that the proposed strategy can optimise the localisation accuracy of RSUs deployment in the VANET scenario.