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Distributed Range-Free Localization Algorithm for 3D Wireless Sensor Networks under Irregular Radio Propagation Model

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Applied Informatics and Communication (ICAIC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 224))

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Abstract

This paper presents a novel Distributed Range-free Localization Algorithm(3D-DRL) for three-dimensional wireless sensor networks under irregular radio propagation environment. In the scheme, the sensing space is divided into cubic cells with resolution a and each anchor, equipped with Global Positioning System (GPS), votes for each cubic cell. Each unknown node averages the COG (center of the gravity) of cells with highest votes as its estimated location. The scheme eliminates the requirement for specific positioning hardware, avoids the need for any interaction between the individual unknown nodes, and is independent of node densities and network topologies. Simulation results indicate that the average localization error is below 3 meters, when DOI(Degree of Irregularity)=0.1, ANR(Anchor to Node Range Ratio)=2.5 and all nodes are randomly deployed in 100×100×100 m3 scenarios. Especially, all unknown nodes can localize themselves by adjusting ANR.

This work is supported by State Key Program of National Natural Science of China (Grant No. 60532030), Program for New Century Excellent Talents in University (Grant No. NCET-08-0333) and Civil Aviation Open Foundation (2008BUAA04) to JP.Xing.

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© 2011 Springer-Verlag Berlin Heidelberg

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Xing, J., Wang, D., Liu, Y. (2011). Distributed Range-Free Localization Algorithm for 3D Wireless Sensor Networks under Irregular Radio Propagation Model. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23214-5_40

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  • DOI: https://doi.org/10.1007/978-3-642-23214-5_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23213-8

  • Online ISBN: 978-3-642-23214-5

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