Cooperative and distributed localization for wireless sensor networks in multipath environments
We consider the problem of sensor localization in wireless networks in a multipath environment. We propose a distributed and cooperative algorithm based on belief propagation, which allows sensors to cooperatively self-localize with respect to a single anchor node in the network, using range and dir...
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sg-ntu-dr.10356-984402020-03-07T13:24:48Z Cooperative and distributed localization for wireless sensor networks in multipath environments Quek, Tony Q. S. Leng, Mei Tay, Wee Peng School of Electrical and Electronic Engineering IEEE International Conference on Acoustics, Speech and Signal Processing (2012 : Kyoto, Japan) We consider the problem of sensor localization in wireless networks in a multipath environment. We propose a distributed and cooperative algorithm based on belief propagation, which allows sensors to cooperatively self-localize with respect to a single anchor node in the network, using range and direction of arrival measurements. In the algorithm, neighboring sensors exchange limited information to update their local mean location estimates and covariance matrices. We show that the covariance matrix for each sensor converges for connected networks, and its mean location estimate converges if all scatters are either parallel or orthogonal to each other. Furthermore, these estimates are asymptotically unbiased. Simulations show that cooperation amongst neighboring nodes significantly improves the localization accuracy. 2013-09-09T02:54:17Z 2019-12-06T19:55:15Z 2013-09-09T02:54:17Z 2019-12-06T19:55:15Z 2012 2012 Conference Paper Leng, M., Tay, W. P., & Quek, T. Q. S. (2012). Cooperative and distributed localization for wireless sensor networks in multipath environments. 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.3125-3128. https://hdl.handle.net/10356/98440 http://hdl.handle.net/10220/13372 10.1109/ICASSP.2012.6288577 en © 2012 IEEE. |
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We consider the problem of sensor localization in wireless networks in a multipath environment. We propose a distributed and cooperative algorithm based on belief propagation, which allows sensors to cooperatively self-localize with respect to a single anchor node in the network, using range and direction of arrival measurements. In the algorithm, neighboring sensors exchange limited information to update their local mean location estimates and covariance matrices. We show that the covariance matrix for each sensor converges for connected networks, and its mean location estimate converges if all scatters are either parallel or orthogonal to each other. Furthermore, these estimates are asymptotically unbiased. Simulations show that cooperation amongst neighboring nodes significantly improves the localization accuracy. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Quek, Tony Q. S. Leng, Mei Tay, Wee Peng |
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Conference or Workshop Item |
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Quek, Tony Q. S. Leng, Mei Tay, Wee Peng |
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Quek, Tony Q. S. Leng, Mei Tay, Wee Peng Cooperative and distributed localization for wireless sensor networks in multipath environments |
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Quek, Tony Q. S. |
title |
Cooperative and distributed localization for wireless sensor networks in multipath environments |
title_short |
Cooperative and distributed localization for wireless sensor networks in multipath environments |
title_full |
Cooperative and distributed localization for wireless sensor networks in multipath environments |
title_fullStr |
Cooperative and distributed localization for wireless sensor networks in multipath environments |
title_full_unstemmed |
Cooperative and distributed localization for wireless sensor networks in multipath environments |
title_sort |
cooperative and distributed localization for wireless sensor networks in multipath environments |
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2013 |
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https://hdl.handle.net/10356/98440 http://hdl.handle.net/10220/13372 |
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