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A hybrid localization approach in 3D wireless sensor network

Zhang, Baohui, Fan, Jin, Dai, Guojun and Luan, Tom H. 2015, A hybrid localization approach in 3D wireless sensor network, International journal of distributed sensor networks, vol. 2015, Article Number : 692345, pp. 1-11, doi: 10.1155/2015/692345.

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Title A hybrid localization approach in 3D wireless sensor network
Author(s) Zhang, Baohui
Fan, Jin
Dai, Guojun
Luan, Tom H.
Journal name International journal of distributed sensor networks
Volume number 2015
Season Article Number : 692345
Start page 1
End page 11
Total pages 11
Publisher Hindawi Publishing Corporation
Place of publication Cairo, Egypt
Publication date 2015
ISSN 1550-1329
Keyword(s) Hybrid localisation
Summary Location information acquisition is crucial for many wireless sensor network (WSN) applications. While existing localization approaches mainly focus on 2D plane, the emerging 3D localization brings WSNs closer to reality with much enhanced accuracy. Two types of 3D localization algorithms are mainly used in localization application: the range-based localization and the range-free localization. The range-based localization algorithm has strict requirements on hardware and therefore is costly to implement in practice. The range-free localization algorithm reduces the hardware cost but at the expense of low localization accuracy. On addressing the shortage of both algorithms, in this paper, we develop a novel hybrid localization scheme, which utilizes the range-based attribute RSSI and the range-free attribute hopsize, to achieve accurate yet low-cost 3D localization. As anchor node deployment strategy plays an important role in improving the localization accuracy, an anchor node configuration scheme is also developed in this work by utilizing the MIS (maximal independent set) of a network. With proper anchor node configuration and propagation model selection, using simulations, we show that our proposed algorithm improves the localization accuracy by 38.9% compared with 3D DV-HOP and 52.7% compared with 3D centroid.
Language eng
DOI 10.1155/2015/692345
Field of Research 0805 Distributed Computing
1702 Cognitive Science
100510 Wireless Communications
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Hindawi Publishing Corporation
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Document type: Journal Article
Collection: School of Information Technology
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