Quadrant-Based Weighted Centroid Algorithm for Localization in Underground Mines

作者: Nazish Tahir , Md. Monjurul Karim , Kashif Sharif , Fan Li , Nadeem Ahmed

DOI: 10.1007/978-3-319-94268-1_38

关键词:

摘要: Location sensing in wireless sensor networks (WSNs) is a critical problem when it comes to rescue operation underground mines. Most of the existing research on node localization uses traditional centroid algorithm-based approach. However, such approaches have higher error, which leads inaccurate precision. This paper proposes novel quadrant-based solution weighted algorithm that received signal strength indicator for range calculation and distance improvement by incorporating alternating path loss factor according mine environment. It also makes use four beacon nodes instead three with weights applied reflect impact each position. The weight inverse estimated. Simulation results show accuracy precision as compared algorithms.

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