An Adaptive Sampling Target Tracking Method of WMSNs

被引：0
|
作者：
Tian, Shikun [1 ]
Jin, Xinyu [1 ]
Zhang, Yu [1 ]
机构：
[1] Zhejiang Univ, Dept Informat Sci & Elect Engn, Hangzhou, Zhejiang, Peoples R China
来源：
ADVANCES IN SWARM INTELLIGENCE, PT 2, PROCEEDINGS | 2010年 / 6146卷
关键词：
Wireless multimedia sensor networks; energy efficiency; target tracking; adaptive sampling; ARMA; piecewise cubic spline; TIME-SERIES; MODELS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel energy efficient target tracking approach is proposed for wireless multimedia sensor networks: ARMA and piecewise Cubic Spline interpolation based Adaptive Sampling model (ACSAS). The least square based acoustic signal energy ratio localization model is presented. With unequal interval historical target positions interpolated by piecewise cubic spline interpolation, the target position is forecasted by ARMA. Sampling interval is dynamically determined and updated based on target future location and velocity. Sensor nodes near the forecasted position are awakened at the next sampling. Compared with Non-ACSAS. the simulation results have verified that ACSAS greatly reduces the tracking energy consumption of WMSN for its much lower computational cost.
引用
收藏
页码：188 / 195
页数：8
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