@inproceedings{cc0b2b229665442d924a052a0ac73e37,
title = "Some issues on WSN localization based on MLE",
abstract = "Node localization plays a key role in the validity of WSN applications. To improve the precision of WSN node localization, A localization algorithm is studied which is based on Maximum Likelihood Estimation (MLE). A new RSSI ranging model is proposed that is depicted by two empirical models. The optimal number of reference WSN nodes for localization are studied. The test results show that the error of localization is less than 1m with the new model while the reference node number is 5.",
keywords = "Localization, MLE(Maximum Likelihood Estimation), RSSI(Received signal strength indicator), Ranging, WSN(Wireless sensor networks)",
author = "Wang Lei and Xiaopeng Wang and Xiaotong Du",
year = "2010",
doi = "10.1109/WCICA.2010.5554095",
language = "英语",
isbn = "9781424467129",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
pages = "796--800",
booktitle = "2010 8th World Congress on Intelligent Control and Automation, WCICA 2010",
note = "2010 8th World Congress on Intelligent Control and Automation, WCICA 2010 ; Conference date: 07-07-2010 Through 09-07-2010",
}