Title :
Weighted Least Square Localization Algorithm Based on RSSI Values
Author :
Zhang Guo Jun;Li Xin;Xu Zhen Long;Li Han Chao
Author_Institution :
Coll. of Meas.-control Technol. &
Abstract :
In order to improve the positioning accuracy of wireless sensor networks, as little as possible to use the beacon node, and controlling the costs. This article used trilateral positioning method for positioning. While, from improving measurement accuracy, angle adaptive environment for wireless sensor nodes. This paper presents a beacon node localization algorithm weighted least squares. The algorithm positioning system adapted the prevailing circumstances, and beacon nodes according to the weight of their own measurement error adjustment beacon node localization of unknown value, according to the mathematical model to solve the environmental factors which cause positioning errors big problem. By MATLAB simulation results show, weighted algorithm reduces the positioning error, localization accuracy is improved 5%.
Keywords :
"Distance measurement","Wireless sensor networks","Mathematical model","Wireless communication","Coordinate measuring machines","Algorithm design and analysis","Position measurement"
Conference_Titel :
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015 Fifth International Conference on
DOI :
10.1109/IMCCC.2015.265