Accurate Analytical-Based Multi-Hop Localization With Low Energy Consumption for Irregular Networks

Yan, Xiaoyong; Cao, Jiannong; Sun, Lijuan; Zhou, Jian; Wang, Senzhang; Song, Aiguo

doi:10.1109/tvt.2019.2957390

Cited by 16 publications

(10 citation statements)

References 38 publications

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“…Note that the letter-shaped network topology [7,8,[21][22][23][24] is most commonly employed to compare and verify the localization performance of irregular networks. We adopt similar network topologies in the simulation.…”

Section: Performance Evaluationmentioning

confidence: 99%

NRAP: Nearest Reliable Anchors-Based Wireless Positioning for Irregular Multi-hop Networks

Wang

YAN

et al. 2023

Wireless Pers Commun

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The position of nodes is the critical foundation for information transfer between "person to things" and "things to things" at any time and from any location in wireless multi-hop networks. The hop-based wireless positioning technology has received widespread attention because it does not requiring additional ranging devices. However, most existing hop-based positioning algorithms ignore the network topology irregularities issues, which are frequently observed in multi-hop networks and may lead to poor positioning performance. In this paper, we present a novel wireless positioning algorithm, named NRAP, for irregular networks based on the nearest reliable anchors to mitigate the impact of topology irregularities. Specifically, a more accurate per-hop distance Article Title estimation model is firstly adopted. Then, NRAP divides the entire network into multiple sub-networks with the node to be positioned and its nearest four neighbor anchor nodes. Moreover, a hybrid particle swarm optimization and natural selection algorithm are employed to search in each sub-network to find the optimal estimated position of the node to be positioned. We evaluate and analyze the performance of NRAP under various network topologies and parameters in comparison with the many state-of-the-art works, and the results further demonstrated the superior performance than these benchmarks.

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Section: Performance Evaluationmentioning

confidence: 99%

NRAP: Nearest Reliable Anchors-Based Wireless Positioning for Irregular Multi-hop Networks

Wang

YAN

et al. 2023

Wireless Pers Commun

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show abstract

Section: Performance Evaluationmentioning

confidence: 99%

NRAP: Nearest reliable anchors-based wireless positioning for irregular multi-hop networks

Wang

YAN

et al. 2022

Preprint

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The position of nodes is the critical foundation for information transfer between "person to things" and "things to things" at any time and from any location in wireless multi-hop networks. The hop-based wireless positioning technology has received widespread attention because it does not requiring additional ranging devices. However, most existing hop-based positioning algorithms ignore the network topology irregularities issues, which are frequently observed in multi-hop networks and may lead to poor positioning performance. In this paper, we present a novel wireless positioning algorithm, named NRAP, for irregular networks based on the nearest reliable anchors to mitigate the impact of topology irregularities. Specifically, a more accurate per-hop distance estimation model is firstly adopted. Then, NRAP divides the entire network into multiple sub-networks with the node to be positioned and its nearest four neighbor anchor nodes. Moreover, a hybrid particle swarm optimization and natural selection algorithm are employed to search in each sub-network to find the optimal estimated position of the node to be positioned. We evaluate and analyze the performance of NRAP under various network topologies and parameters in comparison with the many state-of-the-art works, and the results further demonstrated the superior performance than these benchmarks.

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“…To improve the performance of the algorithm for localization in isotropic deployment, paper [16] combines the Max-hop method with the ranging method in LEAP, thus reducing the influence of isotropic environments on ranging and enhancing the ranging accuracy of every hop progress. An accurate multi-hop node localization algorithm is proposed in [17]. The proposed algorithm obtains the estimated distance between nodes based on the neighbor information and solves the location estimation problem by the hyperbolic estimation method, while geometric constraints are applied to further reduce the error in location estimation.…”

Section: Introductionmentioning

confidence: 99%

WSNs node localization algorithm based on multi-hop distance vector and error correction

Zhang

Zhang²,

Yu³

et al. 2022

Telecommun Syst

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Wireless sensor networks (WSNs) have broad application prospects in various industries, and node localization technology is the foundation of WSN applications. Recently, many range-free node localization algorithms have been proposed, but most of them suffer from low accuracy. In order to improve the localization accuracy, in this paper we proposed the node localization algorithm based on multi-hop distance vector and error correction(MDV-EC). In terms of distance estimation, firstly the MDV-EC algorithm calculates the neighbor distance according to node neighbor relationship, then estimates the distance between unknown node and anchor node in multi-hop manner, and finally calibrates the distance refer to distance correction coefficient. In view of similarity of localization errors of nodes in similar regions, an error correction scheme is also investigated, which corrects the node initial estimated locations of nodes refer to the localization error vector of nearby anchor node. Simulation results show that our proposed MDV-EC has better performance than the other two algorithms in terms of node localization accuracy, and the error correction scheme can effectively reduce the localization errors.

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Accurate Analytical-Based Multi-Hop Localization With Low Energy Consumption for Irregular Networks

Cited by 16 publications

References 38 publications

NRAP: Nearest Reliable Anchors-Based Wireless Positioning for Irregular Multi-hop Networks

NRAP: Nearest Reliable Anchors-Based Wireless Positioning for Irregular Multi-hop Networks

NRAP: Nearest reliable anchors-based wireless positioning for irregular multi-hop networks

WSNs node localization algorithm based on multi-hop distance vector and error correction

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