{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T19:53:29Z","timestamp":1773518009497,"version":"3.50.1"},"reference-count":25,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2017,6,7]],"date-time":"2017-06-07T00:00:00Z","timestamp":1496793600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UID\/EEA\/500008\/2013"],"award-info":[{"award-number":["UID\/EEA\/500008\/2013"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Government of Russian Federation","award":["074-U01"],"award-info":[{"award-number":["074-U01"]}]},{"DOI":"10.13039\/501100004809","name":"Finep","doi-asserted-by":"publisher","award":["01.14.0231.00"],"award-info":[{"award-number":["01.14.0231.00"]}],"id":[{"id":"10.13039\/501100004809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>An efficient strategy for reducing message transmission in a wireless sensor network (WSN) is to group sensors by means of an abstraction denoted cluster. The key idea behind the cluster formation process is to identify a set of sensors whose sensed values present some data correlation. Nowadays, sensors are able to simultaneously sense multiple different physical phenomena, yielding in this way multidimensional data. This paper presents three methods for clustering sensors in WSNs whose sensors collect multidimensional data. The proposed approaches implement the concept of multidimensional behavioral clustering. To show the benefits introduced by the proposed methods, a prototype has been implemented and experiments have been carried out on real data. The results prove that the proposed methods decrease the amount of data flowing in the network and present low root-mean-square error (RMSE).<\/jats:p>","DOI":"10.3390\/s17061317","type":"journal-article","created":{"date-parts":[[2017,6,7]],"date-time":"2017-06-07T10:01:20Z","timestamp":1496829680000},"page":"1317","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Improving Multidimensional Wireless Sensor Network Lifetime Using Pearson Correlation and Fractal Clustering"],"prefix":"10.3390","volume":"17","author":[{"given":"Fernando","family":"Almeida","sequence":"first","affiliation":[{"name":"PPGIA, University of Fortaleza (UNIFOR), Fortaleza 60811-905, Brazil"},{"name":"Computer Engineering, Federal University of Cear\u00e1 (UFC), Campus de Sobral, Sobral 62010-560, Brazil"}]},{"given":"Angelo","family":"Brayner","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Federal University of Cear\u00e1 (UFC), Fortaleza 60440-900, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8657-3800","authenticated-orcid":false,"given":"Joel","family":"Rodrigues","sequence":"additional","affiliation":[{"name":"National Institute of Telecommunications (Inatel), Santa Rita do Sapuca\u00ed 37540-000, Brazil"},{"name":"Instituto de Telecomunica\u00e7\u00f5es, Universidade da Beira Interior, Covilh\u00e3 6201-001, Portugal"},{"name":"ITMO University, St. Petersburg 197101, Russia"}]},{"given":"Jose","family":"Maia","sequence":"additional","affiliation":[{"name":"University of Fortaleza (UNIFOR), Fortaleza 60811-905, Brazil"}]}],"member":"1968","published-online":{"date-parts":[[2017,6,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/S1389-1286(01)00302-4","article-title":"Wireless sensor networks: a survey","volume":"38","author":"Akyildiz","year":"2002","journal-title":"Comput. 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