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Optimisation strategy of roadside units deployment towards VANET localisation with dead reckoning
- Source :
- IET Communications. 14:3504-3511
- Publication Year :
- 2020
- Publisher :
- Institution of Engineering and Technology (IET), 2020.
-
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.
- Subjects :
- Dilution of precision
Vehicular ad hoc network
Computer science
Real-time computing
Stability (learning theory)
Particle swarm optimization
020302 automobile design & engineering
020206 networking & telecommunications
02 engineering and technology
Interval (mathematics)
Computer Science Applications
0203 mechanical engineering
Software deployment
Dead reckoning
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
Subjects
Details
- ISSN :
- 17518636 and 17518628
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- IET Communications
- Accession number :
- edsair.doi...........dfc80d2bb303c7c83470381cdd1a962c
- Full Text :
- https://doi.org/10.1049/iet-com.2019.0814