Wireless information networks
Distributed localization in wireless sensor networks: a quantitative comparison
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
Error characteristics and calibration-free techniques for wireless LAN-based location estimation
Proceedings of the second international workshop on Mobility management & wireless access protocols
The Horus WLAN location determination system
Proceedings of the 3rd international conference on Mobile systems, applications, and services
A practical evaluation of radio signal strength for ranging-based localization
ACM SIGMOBILE Mobile Computing and Communications Review
Empirical evaluation of the limits on localization using signal strength
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Virtual calibration for RSSI-based indoor localization with IEEE 802.15.4
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A survey of indoor positioning systems for wireless personal networks
IEEE Communications Surveys & Tutorials
Indoor geolocation science and technology
IEEE Communications Magazine
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In this paper, we propose an indoor localization method in a wireless sensor network based on IEEE 802.15.4 specification. The proposed method follows a ranging-based approach using not only the measurements of received signal strength (RSS) but also the coordinates of the anchor points (APs). The localization accuracy depends on the errors in the distance estimation with the RSS measurements and the size of the polygon composed of the APs used for the lateration. Since errors are inevitably involved in the RSS measurement, we focus on reducing the size of the polygon to increase the localization accuracy. We use the centroid of the polygon as a reference point to estimate the relative location of a target in the polygon composed of the APs hearing the target. Once the relative position is estimated, only the APs covering the area are used for localization. We implement the localization method and evaluate the accuracy of the proposed method in various radio propagation environments. The experimental results show that the proposed method improves the localization accuracy and is robust against the dynamically changing radio propagation environments over time.