Proceedings Article10.1109/WICOM.2008.851
Adaptive Weights Weighted Centroid Localization Algorithm for Wireless Sensor Networks
Ximei Liu,Chao Zhang,Jizhen Hu +2 more
- 18 Nov 2008
- pp 1-4
10
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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Abstract: Localization of nodes is a key technology for application of wireless sensor network. By analyzing the solutions of model of localization and the environment's influence for RSSI, this paper provide an adaptive weights weighted centroid localization algorithm based on RSSI. We use anchor nodes to measure the signal loss which can be used to calculate the weights to prompt localization accuracy. The simulation results show that the average localization error will be reduced to about a quarter and even to about a half in the complex environment especially in the edge compared to the original centriod algorithm.
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Citations
Mobile Localization Techniques for Wireless Sensor Networks: Survey and Recommendations
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CentroidM: a centroid-based localization algorithm for mobile sensor networks
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- 06 Sep 2010
TL;DR: An adaptation of the well-known, range-free Centroid localization algorithm to deal with node mobility, which achieves error reductions in the localization estimations up to 42% in the presence of movement and more than 30% for a static topology, leading to a significantly more accurate range- free localization process.
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References
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Tian He,Chengdu Huang,Brian M. Blum,John A. Stankovic,Tarek Abdelzaher +4 more
- 01 Jan 2003
TL;DR: This paper presents APIT, a novel localization algorithm that is range-free, and shows that the APIT scheme performs best when an irregular radio pattern and random node placement are considered, and low communication overhead is desired.
DV Based Positioning in Ad Hoc Networks
Dragos Niculescu,Badri Nath +1 more
TL;DR: This work is proposing APS – a localized, distributed, hop by hop positioning algorithm, that works as an extension of both distance vector routing and GPS positioning in order to provide approximate position for all nodes in a network where only a limited fraction of nodes have self positioning capability.
Self-Localization Systems and Algorithms for Wireless Sensor Networks
Wang Fubao,Shi Long,Ren Fengyuan +2 more
TL;DR: The evaluation criterion of the performance and the taxonomy for wireless sensor networks self-localization systems and algorithms are described, the principles and characteristics of recent representative localization approaches are discussed and presented, and the directions of research in this area are presented.
•Journal Article
Centroid localization algorithm for wireless sensor networks
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.
23
•Journal Article
Research on Localization Technology for Wireless Sensor Networks
Qiu Yan,Zhao Chong-chong +1 more
TL;DR: Issues of mobility of nodes and 3D localization are discussed according to the demand of node localization in the ap- plication of space field, such as Unified Guided Weapons Networks.
20