WTS'09 Proceedings of the 2009 conference on Wireless Telecommunications Symposium
An ellipse-centroid localization algorithm in wireless sensor networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Organizing a global coordinate system from local information on an ad hoc sensor network
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
CentroidM: a centroid-based localization algorithm for mobile sensor networks
SBCCI '10 Proceedings of the 23rd symposium on Integrated circuits and system design
An energy-efficient scheme in next-generation sensor networks
International Journal of Communication Systems - Part 2: Next Generation Networks (NGNs)
Research of an Improved Weighted Centroid Localization Algorithm and Anchor Distribution
CYBERC '10 Proceedings of the 2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery
International Journal of Communication Systems
Efficient CDMA wireless position location system using TDOA method
International Journal of Communication Systems
N-Times Trilateral Centroid Weighted Localization Algorithm of Wireless Sensor Networks
ITHINGSCPSCOM '11 Proceedings of the 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing
Efficient path planning and data gathering protocols for the wireless sensor network
Computer Communications
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Localization based on received signal strength indication (RSSI) is a low cost and low complexity technology, and it is widely applied in distance-based localization of wireless sensor networks. The error of existing localization technologies is significant. This paper presents the N-times trilateral centroid weighted localization algorithm, which can reduce the error considerably. Considering the instability of RSSI, we use the weighted average of many RSSIs as current RSSI. To improve the accuracy, we select a number of (no less than three) reliable beacon nodes to increase the localization times. Then we calculate the distances between reliable beacon nodes and the mobile node using an empirical formula. The mobile node is located N times using the trilateral centroid algorithm. Finally, we take the weighted average of the filtered reference coordinates as the mobile node's coordinates. We conduct experiments with the STM32W108 chip, which supports IEEE 802.15.4. The results show that the proposed algorithm performs better than the trilateral centroid algorithm. Copyright © 2012 John Wiley & Sons, Ltd.