Title :
A New Hybrid Localization Technology of Wireless Sensor Networks
Author :
Jin Rencheng ; Meng Lisha ; Gao Teng ; Wang Liding
Author_Institution :
Res. Center of Microsyst. Technol., Dalian Univ. of Technol., Dalian, China
Abstract :
Localization is one of the key technologies of wireless sensor networks. This paper presents a new hybrid localization algorithm developed based on Maximum Likelihood Estimation (MLE) and MAX-MIN algorithm, which improves localization accuracy. The conclusion is got from simulation experiments analysis that it´s best for anchor nodes to be deployed around the networks and the layout of anchor nodes will be the more regular the better. Moreover the cost is taken into account, which is low-cost.
Keywords :
maximum likelihood estimation; wireless sensor networks; MAX-MIN algorithm; hybrid localization technology; maximum likelihood estimation; wireless sensor networks; Analytical models; Automation; Costs; Hardware; Large-scale systems; Maximum likelihood estimation; Mechatronics; Military computing; Sensor phenomena and characterization; Wireless sensor networks; MAX-MIN Localization Algorithm; MLE; WSN;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.709
