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However, the location accuracy node position in wireless sensor network needs to be optimized by the analysis of the literature, a node location algorithm based on Voronoi diagram and support vector machine is proposed in this article. The basic idea of the algorithm is to first divide the region into several parts using Voronoi diagram and anchor node in the localization region. The range of the initial position of the target node is obtained by locating the target node in each region and then the support vector machine is used to optimize the position of the target node accurately. The localization performance of the localization algorithm is analyzed by simulation and real-world experiments. The experimental results show that the localization algorithm proposed in this article is better than the optimal region selection strategy based on Voronoi diagram-based localization scheme and Weighted Voronoi diagram-based localization scheme localization algorithms in terms of localization accuracy. Therefore, the performance of the localization algorithm proposed in this article is verified.<\/jats:p>","DOI":"10.1177\/1550147721993410","type":"journal-article","created":{"date-parts":[[2021,2,13]],"date-time":"2021-02-13T11:23:54Z","timestamp":1613215434000},"page":"155014772199341","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":25,"title":["A node localization algorithm based on Voronoi diagram and support vector machine for wireless sensor networks"],"prefix":"10.1177","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9740-0988","authenticated-orcid":false,"given":"Zhanjun","family":"Hao","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China"},{"name":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 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