An Improved RPSO Algorithm for WSNs Non-uniform Deployment

The deployment problem in wireless sensor networks is considered as one of the most fundamental challenges. The research of sensor network node deployment technology has extremely important theoretical and practical value. When the target area has a non-uniform coverage requirement, the difficulty of deployment is increased. This paper focuses on the deployment of sensor nodes in a non-uniform target area. We proposed an improved algorithm CCRPSO, using cooperative coevolutionary framework with RPSO, and give time-varying nonlinear inertia weight and learning factors. The node deployment scheme is maximize the coverage rate and minimize the energy consumption. The experiment shows that the algorithm can effectively solve the optimization problem in wireless sensor network non-uniform deployment.

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Published
2024-10-18
DOI
https://doi.org/10.1109/iccsn63464.2024.10793259
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

An Improved RPSO Algorithm for WSNs Non-uniform Deployment

Li Lv, Funan Peng, Guanghua Wei, Jun Wang
Underwater Vehicles and Communication Systems
article

An Improved RPSO Algorithm for WSNs Non-uniform Deployment

Li Lv, Funan Peng, Guanghua Wei, Jun Wang
article en

Abstract

The deployment problem in wireless sensor networks is considered as one of the most fundamental challenges. The research of sensor network node deployment technology has extremely important theoretical and practical value. When the target area has a non-uniform coverage requirement, the difficulty of deployment is increased. This paper focuses on the deployment of sensor nodes in a non-uniform target area. We proposed an improved algorithm CCRPSO, using cooperative coevolutionary framework with RPSO, and give time-varying nonlinear inertia weight and learning factors. The node deployment scheme is maximize the coverage rate and minimize the energy consumption. The experiment shows that the algorithm can effectively solve the optimization problem in wireless sensor network non-uniform deployment.

Shenyang Institute of Computing Technology (China) (CN), University of Chinese Academy of Sciences (CN), Shenyang University of Chemical Technology (CN)
Nature
Openalex Percentile: Top 69%
Underwater Vehicles and Communication Systems
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