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Cooperative localization in massive networks

Cooperative localization in massive networks
Cooperative localization in massive networks
Network localization is capable of providing accurate and ubiquitous position information for numerous wireless applications. This paper studies the accuracy of cooperative network localization in large-scale wireless networks. Based on a decomposition of the equivalent Fisher information matrix (EFIM), we develop a random-walk-inspired approach for the analysis of EFIM, and propose a position information routing interpretation of cooperative network localization. Using this approach, we show that in large lattice and stochastic geometric networks, when anchors are uniformly distributed, the average localization error of agents grows logarithmically with the reciprocal of anchor density in an asymptotic regime. The results are further illustrated using numerical examples.
Antenna arrays, Cooperative systems, Lattices, Location awareness, Matrix decomposition, Network localization, Position measurement, Wireless networks, asymptotic analysis, efficiency of cooperation, information inequality, wireless network
0018-9448
Xiong, Yifeng
f93bfe9b-7a6d-47e8-a0a8-7f4f6632ab21
Wu, Nan
bb566e51-c5b6-4cb0-867a-1ff87611c504
Shen, Yuan
a3058aeb-2be6-4d21-bd71-d4e59d97712c
Win, Moe
3ee6ca9a-8a38-4c96-a55e-1a7167e5ba1c
Xiong, Yifeng
f93bfe9b-7a6d-47e8-a0a8-7f4f6632ab21
Wu, Nan
bb566e51-c5b6-4cb0-867a-1ff87611c504
Shen, Yuan
a3058aeb-2be6-4d21-bd71-d4e59d97712c
Win, Moe
3ee6ca9a-8a38-4c96-a55e-1a7167e5ba1c

Xiong, Yifeng, Wu, Nan, Shen, Yuan and Win, Moe (2021) Cooperative localization in massive networks. IEEE Transactions on Information Theory. (doi:10.1109/TIT.2021.3126346).

Record type: Article

Abstract

Network localization is capable of providing accurate and ubiquitous position information for numerous wireless applications. This paper studies the accuracy of cooperative network localization in large-scale wireless networks. Based on a decomposition of the equivalent Fisher information matrix (EFIM), we develop a random-walk-inspired approach for the analysis of EFIM, and propose a position information routing interpretation of cooperative network localization. Using this approach, we show that in large lattice and stochastic geometric networks, when anchors are uniformly distributed, the average localization error of agents grows logarithmically with the reciprocal of anchor density in an asymptotic regime. The results are further illustrated using numerical examples.

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Accepted/In Press date: 2021
e-pub ahead of print date: 13 November 2021
Published date: 13 November 2021
Additional Information: Publisher Copyright: IEEE Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
Keywords: Antenna arrays, Cooperative systems, Lattices, Location awareness, Matrix decomposition, Network localization, Position measurement, Wireless networks, asymptotic analysis, efficiency of cooperation, information inequality, wireless network

Identifiers

Local EPrints ID: 453698
URI: http://eprints.soton.ac.uk/id/eprint/453698
ISSN: 0018-9448
PURE UUID: 5fb69bd8-5694-4727-8d70-b159eafb7593
ORCID for Yifeng Xiong: ORCID iD orcid.org/0000-0002-4290-7116

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Date deposited: 20 Jan 2022 17:47
Last modified: 16 Mar 2024 15:09

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Contributors

Author: Yifeng Xiong ORCID iD
Author: Nan Wu
Author: Yuan Shen
Author: Moe Win

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