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- Title
A Joint Optimization Strategy of Coverage Planning and Energy Scheduling for Wireless Rechargeable Sensor Networks.
- Authors
Gong, Cheng; Guo, Chao; Xu, Haitao; Zhou, Chengcheng; Yuan, Xiaotao
- Abstract
Wireless Sensor Networks (WSNs) have the characteristics of large-scale deployment, flexible networking, and many applications. They are important parts of wireless communication networks. However, due to limited energy supply, the development of WSNs is greatly restricted. Wireless rechargeable sensor networks (WRSNs) transform the distributed energy around the environment into usable electricity through energy collection technology. In this work, a two-phase scheme is proposed to improve the energy management efficiency for WRSNs. In the first phase, we designed an annulus virtual force based particle swarm optimization (AVFPSO) algorithm for area coverage. It adopts the multi-parameter joint optimization method to improve the efficiency of the algorithm. In the second phase, a queuing game-based energy supply (QGES) algorithm was designed. It converts energy supply and consumption into network service. By solving the game equilibrium of the model, the optimal energy distribution strategy can be obtained. The simulation results show that our scheme improves the efficiency of coverage and energy supply, and then extends the lifetime of WSN.
- Subjects
WIRELESS sensor networks; ENERGY management; POWER resources; PARTICLE swarm optimization; WIRELESS communications
- Publication
Processes, 2020, Vol 8, Issue 10, p1324
- ISSN
2227-9717
- Publication type
Article
- DOI
10.3390/pr8101324