Special Issue Article
Enhancement of Energy Efficient in WSN Based on Sleep Scheduling Model
Wireless Sensor Networks has numerous nodes with limited energy in a particular area have major issues is increasing the network life time. Wireless Sensor Networks has promised a large variety of applications. They are often deployed in potentially adverse or even hostile environments. Intrusion detection systems make available a necessary layer of in-depth fortification for wired networks. Miniature research has been performed about intrusion detection in the areas of wireless sensor networks. Tracking Performance can be improved that the target motion predicated and also trajectory can be awakened when the nodes were operated on a duty cycling mode will negatively influence the energy efficiency of wireless sensor networks . Our proposed work has prolonged the increasing the network life time in wireless sensor Networks using Probability-based Prediction and Sleep Scheduling protocol (PPSS) to improve energy efficiency of proactive wake up . We have Simulation results on the prediction method based on both kinematics and probability and also PPSS then precisely selects the nodes to awaken and reduces their active time. The efficiency of PPSS method both simulation-based and implementation-based experiments and results show that compared to MCTA algorithm. Our results indicate PPSS improves energy efficiency by 25-45 percent (simulation based) and 16.9 percent (implementation based), 5-15 percent on the detection delay (simulation based).