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A Model of Three Points for Location Estimation in Wireless Sensor Networks

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Abstract:

In this paper, we propose a novel model of three points named TP for location estimation in wireless sensor networks (WSNs) with random deployment of anchor nodes. In this model, we select three anchor nodes which have the strongest received signal strength (RSS) for location estimation, the centroid algorithm and the method of intersection of judgment are used to estimate the location of unknown nodes. To further exploit three nearest intersection points in TP, the enhanced TP (ETP) is proposed. The simulation results show that the proposed models outperform MMSE and BML in terms of the localization accuracy for WSNs. Moreover, the localization accuracy of the proposed models in scenario 2 with random deployment of anchor nodes are better than in scenario 1 with planned deployment of anchor nodes. Additionally, compared with MMSE and BML, ETP and TP can reduce the environmental impact on location estimation.

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Periodical:

Advanced Materials Research (Volume 787)

Pages:

1066-1071

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.787.1066

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Online since:

September 2013

Authors:

Shao Guo Xie, Yan Jun Hu, Yi Wang, Fang Jiang, Jing Jing Liu, Ying Guan Wang

Keywords:

Anchor Node, Location Estimation, Wireless Sensor Network (WSN)

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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