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.
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Tian, S., Jin, X., Zhang, Y. (2010). An Adaptive Sampling Target Tracking Method of WMSNs. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13498-2_25
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DOI: https://doi.org/10.1007/978-3-642-13498-2_25
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