Improved distance estimation with node selection localization and particle swarm optimization for obstacle-aware wireless sensor networks

作者：

Highlights：

• Focus the WSN localization precision with the obstruction.

• Propose a novel anchor node selection method using an improved distance estimation.

• Enhance PSO adopt for the improvement of localization accuracy in WSN.

• Determine a new fitness function relying on anchor-node positions.

• Perform an intensive evaluation over a recent state of the art localization.

摘要

•Focus the WSN localization precision with the obstruction.•Propose a novel anchor node selection method using an improved distance estimation.•Enhance PSO adopt for the improvement of localization accuracy in WSN.•Determine a new fitness function relying on anchor-node positions.•Perform an intensive evaluation over a recent state of the art localization.

论文关键词：Wireless sensor networks,Node localization,Obstacle awareness,Anchor node selection,Improved distance estimation,Bounding box,Particle swarm optimization

论文评审过程：Received 10 September 2020, Revised 24 January 2021, Accepted 21 February 2021, Available online 2 March 2021, Version of Record 15 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114773