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Publication Type : Conference Paper
Publisher : Institute of Electrical and Electronics Engineers Inc.
Source : Proceedings of the 2017 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017, Institute of Electrical and Electronics Engineers Inc., Volume 2018-January, p.1924-1928 (2018)
Keywords : Additive noise, Additive White Gaussian noise, Errors, Gaussian noise (electronic), Localization, Localization accuracy, Localization of sensor nodes, Mean square error, Mobile anchors, Performance metrices, Positioning algorithms, Root mean square errors, Sensor nodes, Signal processing, White noise, Wireless sensor networks, Wireless telecommunication systems
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2018
Abstract : Localization of sensor node is imperative in Wireless Sensor Networks (WSN) as data gathered at the user end become meaningless without location information of the node. In this work, impact of anchor position errors on WSN localization using Mobile Anchor Positioning (MAP) Algorithm has been investigated by evaluating two deployment strategies. In deployment I sensor nodes are randomly spread in the entire chosen area (1000 χ 1000) whilst deployment II has nodes spread in the central region of the chosen area. Firstly, MAP Algorithm employing three anchor nodes is investigated for the two deployments. To study the impact of mobile anchors on MAP, anchor number is increased to four and the two deployments are investigated again. Further, this work also investigates the effect of anchor position errors on localization accuracy of sensor nodes. Error term is modelled using Additive White Gaussian Noise (AWGN) Model. Performance metrices considered for validation are Average Root Mean Square Error and Execution time. © 2017 IEEE.
Cite this Research Publication : M. S. Kumar and Dr. Ramanathan R., “Impact of anchor position errors on WSN localization using mobile anchor positioning algorithm”, in Proceedings of the 2017 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017, 2018, vol. 2018-January, pp. 1924-1928.