An adaptive sampling target tracking method of WMSNs

Authors:
Shikun Tian;Xinyu Jin;Yu Zhang
Affiliations:
Department of Information Science & Electronic Engineering, Zhejiang University, China;Department of Information Science & Electronic Engineering, Zhejiang University, China;Department of Information Science & Electronic Engineering, Zhejiang University, China
Venue:
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Year:
2010

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Abstract

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.