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The algorithm is mainly based on an adaptively local circular searching area where each unknown sensor must find inside a position that minimizes the error distance with neighboring sensors using a local function. The new position of a sensor is broadcast to neighboring sensors allowing collaboratively to other sensors re-estimate their new positions. The iterative process is repeated until a stopping criterion is reached. The performance of the proposed algorithm is evaluated and compared with other state-of-the-art algorithms, and results indicate that the approach overcomes the other methods in both accuracy and time of convergence. <\/jats:p>","DOI":"10.1177\/1550147716669624","type":"journal-article","created":{"date-parts":[[2016,10,7]],"date-time":"2016-10-07T01:09:46Z","timestamp":1475802586000},"page":"155014771666962","update-policy":"http:\/\/dx.doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["A distributed adaptive local searching algorithm for wireless sensor network localization"],"prefix":"10.1177","volume":"12","author":[{"given":"Oscar Osvaldo Salda\u00f1a","family":"Hern\u00e1ndez","sequence":"first","affiliation":[{"name":"Instituto de Ingenier\u00eda y Tecnolog\u00eda, Universidad Aut\u00f3noma de Ciudad Ju\u00e1rez, Ciudad Ju\u00e1rez, 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