Title :
A New Node Localization Algorithm of Wireless Sensor Networks
Author :
Li, Changgeng ; Chen, Juan ; Li, Xinbing
Author_Institution :
Sch. of Phys. Sci., Central South Univ., Changsha, China
fDate :
March 31 2009-April 2 2009
Abstract :
Based on Monte Carlo method, new node localization algorithm is proposed both in rang-based and rang-free conditions. In the range-based Monte Carlo localization (MCL), the power weight of each particle is given through the distance. Through continuous particles filter updating, the unknown nodepsilas estimated position is obtained. In the MCL range-free algorithm, only one-hop and two-hop anchors are considered. The weight is given by the filter condition. The position of unknown node is confirmed through continuous filtering. An improved DV-hop algorithm based on Monte Carlo method is also proposed. The simulation results show that these proposed algorithms provide estimates better than existing localization methods such as LS and MLE, reduce calculation complexity, and have high accuracy, robustness, fault tolerance.
Keywords :
Monte Carlo methods; particle filtering (numerical methods); wireless sensor networks; DV-hop algorithm; complexity reduction; continuous particle filtering; fault tolerance; node localization algorithm; range-based Monte Carlo localization; wireless sensor networks; Computer science; Filtering algorithms; Filters; Global Positioning System; Hardware; Maximum likelihood estimation; Monte Carlo methods; Probability distribution; Robustness; Wireless sensor networks;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.1077
