Title :
A Distance Measurement Wireless Localization Correction Algorithm Based on RSSI
Author :
Jianqiao Xiong ; Qin Qin ; Kemin Zeng
Author_Institution :
Coll. of Comput. & Inf. Sci., China Three Gorges Univ., Yichang, China
Abstract :
In order to improve the localization precision based on Received Signal Strength Indicator (RSSI) distance measurement for wireless sensor network nodes, a correction RSSI localization algorithm is proposed. In the algorithm, the optimal beacon nodes are firstly taken into consideration, and then using the median mean filtering method to process the measured RSSI data from the optimal beacon nodes. Finally, the weighted centroid algorithm is used to obtain the unknown node location. The simulation results indicate that compared with the traditional RSSI algorithm, the localization error of correction algorithm is reduced by more than 60%, effectively improving the localization precision.
Keywords :
RSSI; distance measurement; median filters; sensor placement; wireless sensor networks; RSSI data; distance measurement wireless localization error correction algorithm; localization precision improvement; median mean filtering method; optimal beacon nodes; received signal strength indicator; weighted centroid algorithm; wireless sensor network nodes; Algorithm design and analysis; Distance measurement; Filtering; Mathematical model; Propagation losses; Wireless communication; Wireless sensor networks; RSSI; localization precision; the median mean filtering method; weighted centroid algorithm;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN :
978-1-4799-7004-9
DOI :
10.1109/ISCID.2014.246
