{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T12:18:05Z","timestamp":1766578685552,"version":"3.40.5"},"reference-count":22,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,4,21]],"date-time":"2021-04-21T00:00:00Z","timestamp":1618963200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"University Industry Research Innovation Fund of Science and Technology Development Center of Ministry of Education","award":["2018A05031"],"award-info":[{"award-number":["2018A05031"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Scientific Programming"],"published-print":{"date-parts":[[2021,4,21]]},"abstract":"<jats:p>Wireless sensor network (WSN) is usually organized in a particular area for achieving some specific tasks and functions. It has broad application prospects in military, environmental monitoring, disaster relief, and other many commercial areas. Measuring the significance of distributed nodes is the foundation of many applications of WSN. Therefore, this paper studies the distributed node measurement methods and approaches based on multiple attributes in wireless sensor networks to improve the accuracy of distributed node importance measurement. The entropy weight TOPSIS method is used to calculate the importance index of distributed nodes of degree centrality, eigenvector centrality, compactness centrality, betweenness centrality, K-kernel decomposition centrality, and aggregation coefficient; the PR value of each node is given by combining the PageRank algorithm; and then, the parameters \u03b1 and \u03b2 are introduced to calculate the comprehensive importance measurement results of each node, to finally obtain the importance measurement results of each node dynamically through the improved node deletion method. The experimental results of the research show that the proposed method can accurately measure the importance of distributed nodes in wireless sensor networks, and the accuracy is as high as 98%.<\/jats:p>","DOI":"10.1155\/2021\/9936337","type":"journal-article","created":{"date-parts":[[2021,4,22]],"date-time":"2021-04-22T21:06:25Z","timestamp":1619125585000},"page":"1-11","source":"Crossref","is-referenced-by-count":1,"title":["Measurement Method of Distributed Nodes in Wireless Sensor Networks Based on Multiple Attributes"],"prefix":"10.1155","volume":"2021","author":[{"given":"Bing","family":"Zheng","sequence":"first","affiliation":[{"name":"Department of Information Engineering, Hainan Vocational University of Science and Technology, Haikou 571126, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1561-4075","authenticated-orcid":true,"given":"Jing","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Hainan Vocational University of Science and Technology, Haikou 571126, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"issue":"2","key":"1","doi-asserted-by":"crossref","first-page":"147","DOI":"10.3103\/S0146411620020066","article-title":"Energy efficient node deployment optimization for cts based on cooperative beamforming in single-hop wireless sensor networks","volume":"54","author":"Y. 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