Title :
RSS-based location estimation in mobility assisted wireless sensor networks
Author :
Sumathi, R. ; Srinivasan, R.
Author_Institution :
Dept. of Comput. Sci. & Eng., Siddaganga Inst. of Technol., Tumkur, India
Abstract :
A large number of innovative applications of wireless sensor networks (WSNs) demands accurate location estimation of sensor nodes. This would lead to proper identification of significant event locations. Several Received Signal Strength (RSS) based localization schemes have been proposed with multiple anchor nodes. In this paper, we propose a novel localization algorithm based on RSS measurements with only one Mobile Anchor (MA) node. It incorporates least square method to estimate the location of static sensor nodes. Simulation results demonstrate the effectiveness of the proposed algorithm.
Keywords :
least squares approximations; mobile radio; wireless sensor networks; RSS measurements; RSS-based location estimation; WSN; innovative applications; least square method; mobile anchor node; mobility assisted wireless sensor networks; multiple anchor nodes; sensor nodes; static sensor nodes; Accuracy; Distance measurement; Equations; Estimation error; Mobile communication; Wireless sensor networks; Least square method; Localization; Mobile Anchor nde; RSS; WSN;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-1426-9
DOI :
10.1109/IDAACS.2011.6072891
