Open AccessJournal Article
Centroid localization algorithm for wireless sensor networks
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TL;DR: A localization algorithm for wireless sensor networks is proposed based on the analysis of range-free coarse-grained centroid algorithm that improves localized nodes ratio by multihop centroid calculating, and improves localization accuracy by decentralizing process and signal strength-weighting process.
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Abstract: A localization algorithm for wireless sensor networks is proposed based on the analysis of range-free coarse-grained centroid algorithm.The proposed algorithm improves localized nodes ratio by multihop centroid calculating,and improves localization accuracy by decentralizing process and signal strength-weighting process.The simulation results show that the average localization error will be reduced to about a half and the localized node ratio will be increased to near 1 under low node density,compared to the original centriod algorithm.
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Citations
Improved centroid localization algorithm in WSNs
Binwei Deng,Guangming Huang,Lei Zhang,Hao Liu +3 more
- 30 Dec 2008
TL;DR: A Centroid algorithm with selective anchor node localization algorithm (SA-Centroid) for WSNs and the method of selecting nearest anchor node was adopted and the experiment results illustrate that the algorithm is valid and effective.
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DV-Hop Based Self-Adaptive Positioning in Wireless Sensor Networks
Zhao-yang Zhang,Xu Gou,Ya-peng Li,Shan-shan Huang +3 more
- 24 Sep 2009
TL;DR: This paper proposed two improved DV-Hop algorithms and integrated them reasonably into a self-adaptive positioning algorithm called SAP which includes two modes which saves the energy consumption and strikes a good balance between positioning accuracy and energy consumption.
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Adaptive Weights Weighted Centroid Localization Algorithm for Wireless Sensor Networks
Ximei Liu,Chao Zhang,Jizhen Hu +2 more
- 18 Nov 2008
TL;DR: An adaptive weights weighted centroid localization algorithm based on RSSI is provided which will reduce the average localization error in the complex environment especially in the edge compared to the original centriod algorithm.
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Linear-regression-based Weighted Centroid Localization Algorithm in Wireless Sensor Network
Hu Yu,Yao Wei-zhao +1 more
TL;DR: In this article, the authors proposed a linear regression-based weighted centroid localization algorithm, which uses hops between nodes, centralizaion and then calibrated the nodes position by the use of linear regression.
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A Hybrid Localization Algorithm for Improving Accuracy Based on RSSI/AOA in Wireless Network
Fan Dai,Yaping Liu,Lin Chen +2 more
- 11 Aug 2012
TL;DR: A numerical method to correct and optimize the weight value from similitude signal strength named CO-WVSS for improving range accuracy and proves the hybrid algorithm can obviously the locating accuracy compared to the single triangle centroid localization algorithm based on RSSI.
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