Efficient Localized Localization Algorithm for Wireless Sensor Networks

Liu, Kezhong; Wang, Shu; Zhang, Fan; Hu, Fuping; Xu, Changchun

doi:10.1109/cit.2005.108

Cited by 7 publications

(1 citation statement)

References 18 publications

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“…As tiny sensor and low dissipationpower Wireless Communications technique have been applying, we can lay high-density and distributed sensor to some extent to locate monitor environment, control traffic and explore space etc. According to most applications, the apperceived data without sensor location is skimbleskamble [2] . Sensor node must definitude its position, and then it could specify where specific case would have occurred, and it can realize localization and trace to exterior object [3] .…”

Section: Introductionmentioning

confidence: 99%

A Node Passive Localization Algrithm Based on Wireless Sensor Networks

Wei

Jun-ge²,

Hu³

et al. 2010

2010 International Conference on Communications and Intelligence Information Security

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A brief introduction of passive localization is presented in this paper. With the localization algorithm of wireless sensor networks, a novel algorithm classification is discussed. Outer node passive localization based on wireless sensor networks is analyzed, and a new localization algorithm is designed. The Monte-Carlo simulation experiment results demonstrate that the new algorithm has a better performance. The study done in this paper is valuable, and will have great utility.

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Section: Introductionmentioning

confidence: 99%

A Node Passive Localization Algrithm Based on Wireless Sensor Networks

Wei

Jun-ge²,

Hu³

et al. 2010

2010 International Conference on Communications and Intelligence Information Security

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Simulation of wireless sensor networks localization with OMNeT++

Wang

Liu

2005

IEE Mobility Conference 2005. The Second International Conference on Mobile Technology, Applications and Systems

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Mixed Convex/Non-Convex Distributed Localization Algorithm for the Deployment of Indoor Positioning Services

Abramo

Blanchini

Geretti

2007

2007 American Control Conference

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In this paper a fully decentralized algorithm for indoor wireless localization is presented. The algorithm combines the use of convex and non-convex optimization procedures, nested to achieve better converge towards the best positioning of a multitude of blind wireless nodes. The algorithm proceeds locally on each node, based on the sole knowledge of the measured distances from, and estimated positions of, the connected nodes only. Repeated asynchronous application on each node of the local procedure guarantees hierarchical convergence of the algorithm to the positioning of the whole network, even in presence of a limited number of peripheral anchors. No global information is required for the proper functioning of the algorithm. From the theoretical standpoint, the paper introduces the geometrical definition of regular and irregular nodes, which is shown to be a useful concept, given a network topology, for the characterization of the convergence properties of the localization problem.

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Efficient Localized Localization Algorithm for Wireless Sensor Networks

Cited by 7 publications

References 18 publications

A Node Passive Localization Algrithm Based on Wireless Sensor Networks

A Node Passive Localization Algrithm Based on Wireless Sensor Networks

Simulation of wireless sensor networks localization with OMNeT++

Mixed Convex/Non-Convex Distributed Localization Algorithm for the Deployment of Indoor Positioning Services

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