DocumentCode
530674
Title
A RSSI based localization algorithm for multiple mobile robots
Author
Zhang, Qingxin ; Di, Qinglong ; Xu, Guangyan ; Qiu, Xiaoyan
Author_Institution
Autom. Dept., Shenyang Aerosp. Univ. (SAU), Shenyang, China
Volume
4
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
190
Lastpage
193
Abstract
This paper presents a optimization algorithm to improve the positioning accuracy of the nodes in wireless sensor networks, and introduces RSSI-based (Received Signal Strength Indicator) wireless location technology on formation of multiple mobile robots. First, the RSSI value, which is measured between mobile node and reference node, is optimized by Gaussian model. At the same time, using the classical method to calculate the positioning coordinates of each mobile node with the optimized RSSI values. Then, the position information and the RSSI values between each two mobile nodes are introduced to assist localization. A new optimization algorithm is proposed in this paper. Therefore, the location problem is transformed into a nonlinear optimization problem. The experimental results showed that this method can improve the positioning accuracy of mobile nodes and implements the goal to estimate the positions of all nodes at one time. It provides a basis for the study on positioning of dynamic network and multi-robot formation control.
Keywords
Gaussian processes; mobile robots; optimisation; wireless sensor networks; Gaussian model; RSSI based localization algorithm; multiple mobile robots; nonlinear optimization problem; optimization algorithm; received signal strength indicator; wireless sensor networks; Mobile robots; Robot sensing systems; gaussian model; node localization; nonlinear programming; penalty function method; rssi; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-7957-3
Type
conf
DOI
10.1109/CMCE.2010.5610184
Filename
5610184
Link To Document