An Sampling Mechanism with Autonomous Portioned of the Interval in Sensor Networks
Zhenhua Wu · Microcomputer Information · 2010
The sampling mechanism is a kind of efficient method for decreasing the redundancy of data flow in wireless sensor networks.Based on linear regression model,a sampling mechanism of sensors network using the autonomous partition of the interval is proposed.In our proposed scheme,the interval can be partitioned independently based on the fluctuation of data flow,and then assigns appropriate sampling rate for each interval.Simulation shows that our scheme can make reasonable utilization of energy.And the sampling mechanism of sensors network can extend the life span of node as long as possible on the premise of accuracy for peri-odic environment data.