Paper Info
Title
Optimisation Strategy Of Roadside Units Deployment Towards Vanet Localisation With Dead Reckoning
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.
Year
DOI
Venue
2020
10.1049/iet-com.2019.0814
IET COMMUNICATIONS
Keywords
DocType
Volume
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
Journal
14
Issue
ISSN
Citations 
19
1751-8628
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Rui Zhang1103.30
Feng Yan2259.54
Yaping Zhu3197.77
Weiwe Xia400.34
Shanjie Zhang500.34
Lianfeng Shen651765.25