Optimal Sleep Schedule And Directional Target Prediction In Wireless Sensor Networks
Wireless Sensor Networks (WSNs) are increasingly being envisioned for collecting data, such as physical or environmental properties, from a geographical region of interest. WSNs are composed of a large number of low-cost sensor nodes, which are powered by portable power sources. The existing system presented Probability-based Prediction and Sleep Scheduling protocol (PPSS) to improve energy efficiency of proactive wake up. It does not provide optimality constraints and abrupt direction changes. The proposed system presented Optimal Sleep Schedule and Directional Target Prediction scheme (OSS-DTP) to improve tracking performance of sensor network in abrupt directional changing targets. It supports multiple target tracking sensor networks. It achieves better energy efficiency in handling multiple targets. To manage tracking subareas it reduces number of proactively awakened nodes. Simulations were conducted on different sensor nodes to measure the performance in terms of Target speed, energy saving ratio and target detection delay.
K.Ramesh, Dr. K.Somasundaram, E.Jothimani