{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T13:10:02Z","timestamp":1724073002550},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T00:00:00Z","timestamp":1629331200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T00:00:00Z","timestamp":1629331200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Science and Technology Major Project of Anhui Province","award":["17030901055"],"award-info":[{"award-number":["17030901055"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Pers Commun"],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1007\/s11277-021-08845-x","type":"journal-article","created":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T17:34:38Z","timestamp":1629394478000},"page":"2719-2733","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["An Optimized Cluster Structure Routing Method Based on LEACH in Wireless Sensor Networks"],"prefix":"10.1007","volume":"121","author":[{"given":"Xu-Xing","family":"Ding","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ya-Ni","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang-Yong","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,19]]},"reference":[{"issue":"1","key":"8845_CR1","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1109\/SURV.2009.090103","volume":"11","author":"Y Gu","year":"2009","unstructured":"Gu, Y., Lo, A., & Niemegeers, I. (2009). A survey of indoor positioning systems for wireless personal networks. IEEE Communications Surveys & Tutorials, 11(1), 13\u201332.","journal-title":"IEEE Communications Surveys & Tutorials"},{"issue":"8","key":"8845_CR2","doi-asserted-by":"publisher","first-page":"1806","DOI":"10.3390\/s17081806","volume":"17","author":"H Xu","year":"2017","unstructured":"Xu, H., Ding, Y., Li, P., Wang, R., & Li, Y. (2017). An RFID indoor positioning algorithm based on Bayesian probability and K-nearest neighbor. Sensors, 17(8), 1806\u20131823.","journal-title":"Sensors"},{"issue":"2","key":"8845_CR3","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1109\/35.983917","volume":"40","author":"K Pahlavan","year":"2012","unstructured":"Pahlavan, K., Li, X., & Makela, J. P. (2012). Indoor geolocation science and technology. IEEE Communications Magazine, 40(2), 112\u2013118.","journal-title":"IEEE Communications Magazine"},{"key":"8845_CR4","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.comnet.2015.11.012","volume":"101","author":"K Lin","year":"2016","unstructured":"Lin, K., Wang, W., Bi, Y., Qiu, M., & Hassan, M. M. (2016). Human localization based on inertial sensors and fingerprints in the industrial internet of things. Computer Networks, 101, 113\u2013126.","journal-title":"Computer Networks"},{"issue":"2","key":"8845_CR5","doi-asserted-by":"publisher","first-page":"2239","DOI":"10.1007\/s11277-017-4295-z","volume":"96","author":"C Li","year":"2017","unstructured":"Li, C., Qiu, Z., & Liu, C. (2017). An improved weighted k-nearest neighbor algorithm for indoor positioning. Wireless Personal Communications, 96(2), 2239\u20132251.","journal-title":"Wireless Personal Communications"},{"issue":"4","key":"8845_CR6","doi-asserted-by":"publisher","first-page":"531","DOI":"10.4218\/etrij.2017-0155","volume":"40","author":"X Ding","year":"2018","unstructured":"Ding, X., Wang, B., & Wang, Z. (2018). Dynamic threshold location algorithm based on fingerprinting method. ETRI Journal, 40(4), 531\u2013536.","journal-title":"ETRI Journal"},{"key":"8845_CR7","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1016\/j.knosys.2018.01.031","volume":"145","author":"G Zhang","year":"2018","unstructured":"Zhang, G., Zhang, C., & Zhang, H. (2018). Improved K-means algorithm based on density canopy. Knowledge-Based Systems, 145, 289\u2013297.","journal-title":"Knowledge-Based Systems"},{"key":"8845_CR8","doi-asserted-by":"crossref","unstructured":"Mai, H., & Cheng, L. (2016). The application of clustering algorithm based on improved canopy-Kmeans in operators data. In International conference on engineering technology and application (ICETA), Kyoto, Japan, April, 2016 (pp. 247\u2013252).","DOI":"10.12783\/dtetr\/iceta2016\/7005"},{"issue":"27","key":"8845_CR9","first-page":"22","volume":"48","author":"D Mao","year":"2012","unstructured":"Mao, D. (2012). Improved canopy-Kmeans algorithm based on MapReduce. Computer Engineering and Applications, 48(27), 22\u201326.","journal-title":"Computer Engineering and Applications"},{"issue":"1","key":"8845_CR10","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1109\/COMST.2015.2464084","volume":"18","author":"S He","year":"2017","unstructured":"He, S., & Chan, S. H. G. (2017). Wi-Fi fingerprint-based indoor positioning: Recent advances and comparisons. IEEE Communications Surveys & Tutorials, 18(1), 466\u2013490.","journal-title":"IEEE Communications Surveys & Tutorials"},{"key":"8845_CR11","doi-asserted-by":"crossref","unstructured":"Long, Z., Men, X., Niu, J., Zhou, X., & Ma, K. (2017). A Wi-Fi indoor positioning modeling based on location fingerprint and cluster analysis (pp. 336\u2013345). Springer.","DOI":"10.1007\/978-3-319-68345-4_30"},{"key":"8845_CR12","unstructured":"Altintas, B., & Serif, T. (2011). Improving RSS-based indoor positioning algorithm via K-means clustering. In Wireless conference 2011\u2014Sustainable wireless technologies, Vienna, Austria, April 27\u201329, 2011 (pp. 1\u20135)."},{"issue":"1","key":"8845_CR13","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/s10479-012-1219-x","volume":"216","author":"CY Cheng","year":"2014","unstructured":"Cheng, C. Y. (2014). Indoor localization algorithm using clustering on signal and coordination pattern. Annals of Operations Research, 216(1), 83\u201399.","journal-title":"Annals of Operations Research"},{"key":"8845_CR14","unstructured":"Li, L., Ma, L., Xu, Y., & Wang, J. (2011). Application of multi-cluster-center based filtering in WLAN indoor positioning. In International ICST conference on communications and networking in China (CHINACOM), Harbin, China, August 17\u201319, 2011 (pp. 438\u2013441)."},{"issue":"2","key":"8845_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/LSENS.2018.2818161","volume":"2","author":"W Xue","year":"2018","unstructured":"Xue, W., Hua, X., Li, Q., Yu, K., & Qiu, W. (2018). Improved neighboring reference points selection method for WiFi-based indoor localization. IEEE Sensors Letters, 2(2), 1\u20134.","journal-title":"IEEE Sensors Letters"},{"issue":"12","key":"8845_CR16","doi-asserted-by":"publisher","first-page":"1983","DOI":"10.1109\/TMC.2011.216","volume":"11","author":"C Feng","year":"2012","unstructured":"Feng, C., Au, W. S. A., Valaee, S., & Tan, Z. (2012). Received-signal-strength-based indoor positioning using compressive sensing. IEEE Transactions on Mobile Computing, 11(12), 1983\u20131993.","journal-title":"IEEE Transactions on Mobile Computing"},{"issue":"6","key":"8845_CR17","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1109\/JIOT.2015.2453419","volume":"2","author":"D Liang","year":"2015","unstructured":"Liang, D., Zhang, Z., & Peng, M. (2015). Access point reselection and adaptive cluster splitting-based indoor localization in wireless local area networks. IEEE Internet of Things Journal, 2(6), 573\u2013585.","journal-title":"IEEE Internet of Things Journal"},{"issue":"12","key":"8845_CR18","doi-asserted-by":"publisher","first-page":"4018","DOI":"10.1109\/TWC.2011.101211.101957","volume":"10","author":"SH Fang","year":"2011","unstructured":"Fang, S. H., Hsu, Y. T., & Kuo, W. H. (2011). Dynamic fingerprinting combination for improved mobile localization. IEEE Transactions on Wireless Communications, 10(12), 4018\u20134022.","journal-title":"IEEE Transactions on Wireless Communications"},{"key":"8845_CR19","unstructured":"Ge, X., & Qu, Z. (2016). Optimization WIFI indoor positioning KNN algorithm location-based fingerprint. In IEEE international conference on software engineering and service science, Beijing, China, August 26\u201328, 2016 (pp. 135\u2013137)."},{"key":"8845_CR20","doi-asserted-by":"crossref","unstructured":"Xu, J., Luo, H., Fang, Z., Rui, T., Lin, Y. (2011). Dynamic indoor localization techniques based on Rssi in WLAN environment. In International conference on pervasive computing and applications, Port Elizabeth, South Africa, October 26\u201328, 2011 (pp. 417\u2013421).","DOI":"10.1109\/ICPCA.2011.6106541"},{"key":"8845_CR21","doi-asserted-by":"crossref","unstructured":"Umair, M. Y., Ramana, K. V., & Yang, D. (2014). An enhanced K-nearest neighbor algorithm for indoor positioning systems in a WLAN. In IEEE computers, communications and IT applications conference, Beijing, China, October 13\u201315 (pp. 19\u201323).","DOI":"10.1109\/ComComAp.2014.7017163"},{"key":"8845_CR22","unstructured":"Yin, F., Zhao, Y., & Gunnarsson, F. (2015). Proximity report triggering threshold optimization for network-based indoor positioning. In International conference on information fusion, Washington, DC, USA, July 6\u20139, 2015 (pp. 1061\u20131069)."},{"key":"8845_CR23","unstructured":"Altintas, B., Serif, T. (2011). Improving RSS-based indoor positioning algorithm via K-means clustering. In Wireless conference sustainable wireless technologies, Vienna, Austria (pp. 681\u2013685)."},{"issue":"1","key":"8845_CR24","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1109\/TIE.2014.2327595","volume":"62","author":"B Wang","year":"2015","unstructured":"Wang, B., Zhou, S., Liu, W., & Mo, Y. (2015). Indoor localization based on curve fitting and location search using received signal strength. IEEE Transactions on Industrial Electronics, 62(1), 572\u2013582.","journal-title":"IEEE Transactions on Industrial Electronics"}],"container-title":["Wireless Personal Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-021-08845-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11277-021-08845-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-021-08845-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T20:05:36Z","timestamp":1638302736000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11277-021-08845-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,19]]},"references-count":24,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["8845"],"URL":"https:\/\/doi.org\/10.1007\/s11277-021-08845-x","relation":{},"ISSN":["0929-6212","1572-834X"],"issn-type":[{"value":"0929-6212","type":"print"},{"value":"1572-834X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,19]]},"assertion":[{"value":"6 August 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 August 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}