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Among existing classical cooperative localization techniques for wireless networks, the maximum likelihood estimator (MLE) is theoretically the best. However, the gradient-based algorithms that are commonly used for maximum likelihood estimation are quite sensitive to the initial values and cannot achieve the theoretical optimal performance. In this paper, we propose a new iterative positioning algorithm based on received signal strength information that employs a location ordering strategy and a numerical nonlinear optimization method. The algorithm performance is evaluated through simulation for different network scenarios. A real wireless network scenario is also implemented in order to demonstrate the algorithm effectiveness. The proposed algorithm, while presenting a simplified implementation, can achieve better positioning estimates than the classical MLE approach based on the conjugated gradient.<\/jats:p>","DOI":"10.1186\/1687-1499-2013-276","type":"journal-article","created":{"date-parts":[[2013,12,5]],"date-time":"2013-12-05T10:04:20Z","timestamp":1386237860000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A simple iterative positioning algorithm for client node localization in WLANs"],"prefix":"10.1186","volume":"2013","author":[{"given":"Luis M","family":"Trevisan","sequence":"first","affiliation":[]},{"given":"Marcelo E","family":"Pellenz","sequence":"additional","affiliation":[]},{"given":"Manoel C","family":"Penna","sequence":"additional","affiliation":[]},{"given":"Richard D","family":"Souza","sequence":"additional","affiliation":[]},{"given":"Mauro SP","family":"Fonseca","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,12,5]]},"reference":[{"issue":"2","key":"838_CR1","doi-asserted-by":"publisher","first-page":"388","DOI":"10.1109\/18.825799","volume":"46","author":"P Gupta","year":"2000","unstructured":"Gupta P, Kumar PR: The capacity of wireless networks. 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