XIA Hou-kai-shun, YU Hui-rong, WU Yi-lin, YE Jing-zhi. Improved RSSI Localization Algorithm Based on Adaptive Clustering[J]. Microelectronics & Computer, 2014, 31(5): 103-106.
Citation: XIA Hou-kai-shun, YU Hui-rong, WU Yi-lin, YE Jing-zhi. Improved RSSI Localization Algorithm Based on Adaptive Clustering[J]. Microelectronics & Computer, 2014, 31(5): 103-106.

Improved RSSI Localization Algorithm Based on Adaptive Clustering

  • Focusing on the problem of inaccurate RSSI (Received Signal Strength Indicator) data caused by the environment interference in RSSI localization,an adaptive clustering strategy is introduced is this paper.Anchor nodes with precise RSSI value are chosen to form a working cluster by using this strategy to provide the node localization algorithm with reliable measurement data.An improved weighted least squares algorithm is proposed to overcome the shortage of traditional least squares algorithm in RSSI localization.In addition,apositioning experiment platform was built to verify and testify the presented algorithm and strategy.The results show that the improved weighted least squares algorithm based on adaptive clustering greatly improve the positioning accuracy and performance.
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