Abstract
This paper proposes an improved localization algorithm called MDIS (Multi-Region Division In Shadow). The algorithm divides the traditional overlapping communication regions constructed by neighbor anchor nodes (nodes whose locations are known) into many subregions, and coordinates of centroid points in these subregions could be calculated. Furthermore, the algorithm establishes relation arrays of the unknown node to anchor nodes and centroid points to anchor nodes. Then the location of unknown nodes in subregions is determined by calculating the correlation coefficient of above relation arrays. And simulations demonstrate that MDIS algorithm increases the accuracy and stability compared to other range-free algorithms.
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Acknowledgements
This paper is supported by the NNSFC (grant number 61373091); Civil Aviation Airport United Laboratory of Second Research Institute, CAAC&& Sichuan University of Chengdu (grant number 2015-YF04-00050-JH); the Collaborative Innovation of Industrial Cluster Project of Chengdu (grant number 2016-XT00-00015-GX); NNSFC&CAAC U1533203; the key Technology R&D program of Sichuan Province (grant number 2016GZ0068).
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Wang, H., Chen, H., Yuan, P., Yin, F., Luo, Q., Chen, L. (2019). MDIS: A Node Localization Algorithm Based on Multi-region Division and Similarity Matching. In: Sun, Y., Lu, T., Xie, X., Gao, L., Fan, H. (eds) Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2018. Communications in Computer and Information Science, vol 917. Springer, Singapore. https://doi.org/10.1007/978-981-13-3044-5_40
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DOI: https://doi.org/10.1007/978-981-13-3044-5_40
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