Scheduling algorithm tracking-oriented based on GDF
Target tracking is one of important applications in wireless sensor networks that highly depend on sensor coordination because each sensor node can carry limited power in that all the sensor nodes should be scheduled in collaborative manner to balance the information contribution and resource consumption. In this paper, we propose sensor scheduling algorithm tracking-oriented based on GDF. When the target occurs in the sensor network, cluster and duty cycling algorithm is executed to schedule sensor node to perform taking task. The Gaussian particle filter is employed to estimate trajectory of target. With the target moving, only some nodes are active, the others go to sleep for conserving energy. Using dynamic cluster and duty cycling technology can assign effectively tasks and significantly reduce energy consumption.
Sensor Scheduling Dynamic Cluster GDF
YAN Dongmei WANG Jinkuan LIU Li
College of Information Science and Engineering, Northeastern University, ShenYang 110819 Engineer Optimization & Smart Antenna Institute, Northeastern University at Qinhuangdao, Qin huang dao 066004
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
6546-6549
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）