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Open AccessFeature PaperArticle

A Lightweight Localization Solution for Small, Low Resources WSNs

Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695, USA
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This paper is an extended version of our paper published in Xiong, H.; Sichitiu, M.L. KickLoc: Simple, Distributed Localization for Wireless Sensor Networks. In Proceedings of the 2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 10–13 October 2016; pp. 228–236.
J. Sens. Actuator Netw. 2019, 8(2), 26; https://doi.org/10.3390/jsan8020026
Received: 1 April 2019 / Revised: 26 April 2019 / Accepted: 28 April 2019 / Published: 5 May 2019
(This article belongs to the Special Issue Localization in Wireless Sensor Networks)
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Abstract

The increasing demand for location-dependent services in wireless sensor networks (WSNs) calls for solutions capable of handling the diversified demands and the unique challenges presented in WSNs. In most applications, nodes need to determine their locations in a reliable manner while operating under stringent constraints in computation, communication, and energy resources. This paper offers a novel solution to bridge the gap between the high accuracy demand and low resources available for range-based localization. We propose KickLoc, a fully distributed scheme, which considers the uncertainty of the distance measurements to minimize localization errors introduced from the range measurement, and leverages information from all neighboring nodes for better position estimations. Our work is evaluated via extensive simulations, with comparisons to other well-known localization schemes, and the Cramér-Rao lower bound (CRLB). In addition, we implement and evaluate the proposed system on sensor platforms with different range measurement mechanisms. The results show that this localization solution outperforms existing methods in various scenarios, while remains lightweight and suitable for small, low resources WSNs. View Full-Text
Keywords: wireless sensor network; radio signal strength (RSS); cooperative localization; information fusion wireless sensor network; radio signal strength (RSS); cooperative localization; information fusion
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Xiong, H.; Sichitiu, M.L. A Lightweight Localization Solution for Small, Low Resources WSNs. J. Sens. Actuator Netw. 2019, 8, 26.

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