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Meta-heuristic-based guidance model for node localization in wireless sensor networks
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DOI：10.1016/j.compeleceng.2022.108437.png)
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摘要
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An important requirement in many applications in Wireless sensor networks (WSNs) is the location of nodes within the network. Manual location provision options have become prac-tically impossible, necessitating the use of self-localization approaches for the provision of location information. In one such approach, the mobile-assisted localization approach, a mobile anchor (MA) goes through the network and provides updated location information to the nodes. However, the implementation of solutions with highly MAs is limited in many real-time applications, with typical networks having irregular and unpredictable obstacles, vast distances between nodes, and large energy requirements. To make MAs more efficient in providing localization information, we proposed the Flow Direction Path Planning (FDPP) model, where the planning for movement is achieved using meta-heuristic physics-based algorithms following a real-time approach. The model shows better outcomes than traditional models, with improved localization accuracy, ratios, precision, and lower computational times.
Keyword:
Wireless sensor networks
Path planning
Optimization
Mobile communication
Meta-heuristic algorithms
期刊
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4.9
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6.7K
被引数:
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