Cooperative Localization Using Expected Minimum Segment for Irregular Multi-Hop Networks

For the creation of wireless network applications, node locations are frequently necessary. However, communication effectiveness, measurement accuracy, and localization stability will be low in irregular multi-hop networks when locating nodes using conventional algorithms. To this end, a novel cooperative localization algorithm using expected minimum segments (LEMS, for short) is proposed in this paper. LEMS begins by measuring the distance between paired nodes, which is completed along with network initialization. Then, each unlocated node constructs its own sub-network, including it, based on the error characteristics among anchor nodes. Finally, each unlocated node searches for its estimated location in its sub-region based on the objective function generated by the chaotic mapping. Simulation results demonstrate that the proposed algorithm significantly outperforms the state-of-the-art regarding efficiency, accuracy, and stability for various irregular networks. Specifically, our proposed algorithm achieves a median improvement in localization accuracy of 0.62 to 29.57 times and a reduction in the range of localization errors of 0.06 to 16.8 times.

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Publication Details

Journal
IEEE Transactions on Networking
Published
2024-11-07
DOI
https://doi.org/10.1109/tnet.2024.3487904
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Cooperative Localization Using Expected Minimum Segment for Irregular Multi-Hop Networks

Shigeng Zhang, Alex X. Liu, Chuntao Ding, Chenhuang Wu et al.
IEEE Transactions on Networking
Indoor and Outdoor Localization Technologies
article

Cooperative Localization Using Expected Minimum Segment for Irregular Multi-Hop Networks

Shigeng Zhang, Alex X. Liu, Chuntao Ding, Chenhuang Wu, Jiannong Cao, Xiaoyong Yan, Aiguo Song
article en

Abstract

For the creation of wireless network applications, node locations are frequently necessary. However, communication effectiveness, measurement accuracy, and localization stability will be low in irregular multi-hop networks when locating nodes using conventional algorithms. To this end, a novel cooperative localization algorithm using expected minimum segments (LEMS, for short) is proposed in this paper. LEMS begins by measuring the distance between paired nodes, which is completed along with network initialization. Then, each unlocated node constructs its own sub-network, including it, based on the error characteristics among anchor nodes. Finally, each unlocated node searches for its estimated location in its sub-region based on the objective function generated by the chaotic mapping. Simulation results demonstrate that the proposed algorithm significantly outperforms the state-of-the-art regarding efficiency, accuracy, and stability for various irregular networks. Specifically, our proposed algorithm achieves a median improvement in localization accuracy of 0.62 to 29.57 times and a reduction in the range of localization errors of 0.06 to 16.8 times.

IEEE Transactions on NetworkingVol. 33(1)
Central South University (CN), Hong Kong Polytechnic University (HK), Beijing Jiaotong University (CN), Nanjing University of Posts and Telecommunications (CN), Midea Group (China) (CN), Putian University (CN), Southeast University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 82%
Indoor and Outdoor Localization Technologies
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