A Received Signal Strength Indication Adaptive Algorithm for Wireless Sensor Network


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Indoor environments are complicated and changeable, and RSSI (Received Signal Strength Indication) observations have great randomness, so the classic RSSI estimation algorithm has poor results in indoor environments. To solve this problem, a RSSI adaptive estimation algorithm (RAE-IW) based on Kalman filtering algorithm is presented in this paper, which achieves exact RSSI estimation, and fast adapts to the change of environmental parameters. Simulation results show that RAE-IW has low complexity, performs better than classic estimation methods in indoor environments, and applies to indoor wireless sensor network.



Edited by:

Shaobo Zhong and Yiqiang Zhang




H. Huang and B. Luo, "A Received Signal Strength Indication Adaptive Algorithm for Wireless Sensor Network", Applied Mechanics and Materials, Vol. 273, pp. 505-509, 2013

Online since:

January 2013





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