Abstract
ELSN(Efficient Localization for large-scale underwater Sensor Networks) gets the node location by solving equations. However, sometimes the unique solution(no solution or multiple solutions) can not be got from equations because of the measurement error, which leads localization problem. On the basis of ELSN algorithm, a new localization algorithm is proposed. It transforms the process of solving equations into looking for the best point of intersection of the three circles in the plane, and regards the point as the potential location of the node. Firstly, in this algorithm, the node is projected into a two-dimensional plane to reduce the computational complexity of the algorithm. Secondly, every three reference nodes are randomly selected as a combination. That is to say that each triplet of nodes which represents a triplet of equations forms three tangent or intersecting circles. Based on the positional relationship of three circles, an optimal point of intersection is served as a potential location of the target node, and the residuals of each triplet is served as a potential weight. Finally, the weighted results of all potential locations are considered as the final position of the node.
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Cai, S., Zhang, G., Liu, S. (2014). Weighted Localization for Underwater Sensor Networks. In: Sun, L., Ma, H., Hong, F. (eds) Advances in Wireless Sensor Networks. CWSN 2013. Communications in Computer and Information Science, vol 418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54522-1_25
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DOI: https://doi.org/10.1007/978-3-642-54522-1_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54521-4
Online ISBN: 978-3-642-54522-1
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