Title :
A simple method for positioning and tracking in wireless sensor networks
Author :
Vu, Hai L. ; Tran, Tu T. ; De Luca, Matthew
Author_Institution :
Centre for Adv. Internet Archit., Swinburne Univ. of Technol., Melbourne, VIC
Abstract :
In this paper we develop a simple yet effective heuristic algorithm to estimate the location of a sensor node in wireless sensor networks. Our method utilizes a simple and inexpensive received signal strength (RSS) measurement at a node to maximize the maximum likelihood (ML) function in a localization problem. We show via numerical results that the location estimations obtained from the new method are more accurate compared to those of traditional techniques. The algorithm can also be easily used to track the movement of a node in wireless sensor networks.
Keywords :
maximum likelihood detection; wireless sensor networks; localization problem; maximum likelihood function; received signal strength measurement; sensor node; wireless sensor networks; Fading; Frequency; Heuristic algorithms; Interference; Iterative algorithms; Maximum likelihood estimation; Robotics and automation; Shadow mapping; Tracking; Wireless sensor networks; Positioning and movement tracking; Received signal strength (RSS); Sensor networks;
Conference_Titel :
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-2286-9
Electronic_ISBN :
978-1-4244-2287-6
DOI :
10.1109/ICARCV.2008.4795523