Title :
Some issues on WSN localization based on MLE
Author :
Wang, Lei ; Wang, Xiaopeng ; Du, Xiaotong
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
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 1 m with the new model while the reference node number is 5
Keywords :
maximum likelihood estimation; signal processing; wireless sensor networks; RSSI ranging model; WSN localization; maximum likelihood estimation; node localization; received signal strength indicator; reference node number; wireless sensor network; Ad hoc networks; Maximum likelihood estimation; Robot sensing systems; Wireless communication; Wireless sensor networks; Localization; MLE(Maximum Likelihood Estimation); RSSI(Received Signal Strength Indicator); Ranging; WSN(Wireless Sensor Networks);
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554095
