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• W3100415372 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." @default.
• W3100415372 created "2020-11-23" @default.
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• W3100415372 date "2020-11-06" @default.
• W3100415372 modified "2023-10-16" @default.
• W3100415372 title "Optimisation strategy of roadside units deployment towards VANET localisation with dead reckoning" @default.
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• W3100415372 doi "https://doi.org/10.1049/iet-com.2019.0814" @default.
• W3100415372 hasPublicationYear "2020" @default.
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