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Erschienen in:
2017 | OriginalPaper | Buchkapitel
An Improved Localization Algorithm for Anisotropic Sensor Networks
verfasst von : Xiaoyong Yan, Zhong Yang, Yu Liu, Zhong Su, Huijun Li
Erschienen in: Cloud Computing and Security
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Abstract
Aiming at the problem that the multi-hop range-free wireless localization algorithm is sensitive to the influence of the anisotropic sensor network factors, we propose a new approach for localization in wireless sensor networks based on regularization algorithm. We first construct the mapping model using the hop-counts and the distance between anchors, and regularization algorithm is used to describe the optimal linear transformations between the hop-counts and the distance. We then use the hop-counts of no-anchors to anchors and this mapping model to the locations of the non-anchors. We evaluate our algorithm under irregular distribution of nodes and the uneven deployment of nodes, and analyze its performance. We also compare our approach with several existing approaches, and demonstrate our proposed algorithm can effectively avoid the network anisotropy.