Title :
A method to reduce the error in wireless sensor networks nodes measure
Author :
Yan, Xiaoyong ; Zhang, Yan
Author_Institution :
Coll. of Inf. Technol., Jingling Inst. of Technol., Nanjing, China
Abstract :
The received signal strength indication is usually used to measure the distance between two nodes. There are random errors and outliers in the received signal strength indication. In order to overcome the two ranging error on the positioning accuracy of localized nodes in wireless sensor network. In this paper, the characteristic of the analysis of two errors is proposed based on a weighted value based on statistics in location algorithm. The proposed algorithm can reduce the effects of gross errors and filter random error, improve the accuracy of the positioning and coverage rate of nodes. The simulation results show that the experiment was a success and achieve the expected results.
Keywords :
statistical analysis; wireless sensor networks; filter random error; gross errors; location algorithm; node distance measurement; random errors; received signal strength indication; statistics; weighted value; wireless sensor networks nodes measure error; Algorithm design and analysis; Distance measurement; Educational institutions; Information technology; Measurement uncertainty; Wireless communication; Wireless sensor networks; RSSI; localization; outliers; wireless sensor network;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6009983
