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Vol. 176, Issue 8, August 2014, pp. 140-148




Weighted Centroid Localization Algorithm Based on Least Square
for Wireless Sensor Networks

1 Shaoguo Xie, 2 Yanjun Hu, 3 Yi Wang, 4 Yingguan Wang

1, 2, 3 Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei Anhui 230039, China
4 Key Laboratory of Wireless Sensor Network & Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 865 Changning Road, Shanghai 200050 China
1 Tel.: 65107154, fax: 65107154

1 E-mail: xieshaoguo@126.com


Received: 12 March 2014 /Accepted: 31 July 2014 /Published: 31 August 2014

Digital Sensors and Sensor Sysstems


Abstract: Localization algorithm is an important and challenging topic in today’s wireless sensor networks (WSNs). In order to improve the localization accuracy, a weighted centroid localization algorithm based on least square to predict the location of any sensor in WSNs is proposed in this paper. The proposed algorithm proposes a Least-Square-based weight model which can reasonably weigh the proportion of each anchor node in the unknown node. In the weight model, we utilize least square method to compute the weight. Then, we increase the weight of anchor nodes closer to the unknown node, introduce the parameter k into the proposed likelihood model, and we determine the optimal value of the parameter k through our real experiments. Simulation and experimental results show that the proposed weighted centroid algorithm is better than Weighted Centroid Localization (WCL) and Anchor-optimized Modified Weighted Centroid Localization based on RSSI (AMWCL-RSSI) in terms of the localization accuracy.


Keywords: Localization, RSS, Wireless sensor networks, Least square, Weight.


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