Performances of Localization Algorithms in a Prototype WSN System
The proliferation of wireless sensor networks (WSNs) has fostered the demand of context aware applications, among which localization plays a significant role. Localization in WSN is facing the challenges of (1) error and noise; (2) dynamic environments; (3) data packet loss. However, most presented localization algorithms are verified just by simulation but practical systems. To validate the localization algorithms realistically, a prototype WSN system equipped with a group of sensor nodes is deployed in this paper. A trilateration based optimization approaches and the Extended Kalman Filter (EKF) with position-velocity (PV) model are proposed and tested in the system comparing with the traditional trilateration. The experiment result indicates that the two proposed localization algorithms have much better accuracy than the traditional trilateration and, in a certain aspect, EKF with PV model is the most suitable algorithm among the three algorithms for localization in the prototype system.
trilateration localization algorithm Extended Kalman Filter prototype system wireless sensor network
Jingzhi Ye Ling Zhao Wenfeng Luo
Center for Control and Optimization, South China University of Technology Guangzhou, 510640, China
国际会议
沈阳
英文
723-727
2011-11-22（万方平台首次上网日期，不代表论文的发表时间）