IRW: low-cost localization with error control in fading environments

Authors:
Guang Wu;Shu Wang;Yan Dong;Wei Tang
Affiliations:
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, China;Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, China;Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, China;Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, China
Venue:
WASA'11 Proceedings of the 6th international conference on Wireless algorithms, systems, and applications
Year:
2011

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Abstract

Location information becomes critically essential and indispensable for wireless sensor networks (WSNs). To associate sensed data with locations making data spatially meaningful. Many network protocols and services, such as network routing, topology control, coverage, boundary detection, etc., are based on location information. According to the constraint of cost, the cost of localization should be low either. The fading environment makes this object difficult to achieve. We present and evaluate a methodology for low-cost robust location. Our approach uses an Inverse RSSI Weighting (IRW) algorithm that requires only simple RSSI measurement during the receiving of the packages. Because that such measurement is necessary for demodulation and decoding the information, the approach based on IRW is not require additional equipments on sensors. We tested our localization algorithm in two fading environments: tile walk area and wooded area. Comparing to three most popular localization algorithms, the IRW algorithm can alleviate the negative impact of noisy ranging measurement and is robust over the deep fading scenarios.