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Reconstruction of Path using Resource Leveling Technique in Wireless Sensor Networks

In future, the wireless networks communication are expected to provide increased speed and minimized delay. Due to tremendous increase in mobile users, we are in need to satisfy their demands. To improve the performance of wireless sensor networks resource leveling and scheduling the transmission plays a vital role in terms of transmission speed and delay. In this paper, a novel methodology is proposed for distant transmissions like wireless relay networks and device-to-device assisted system. We focus on the resource leveling and transmission scheduling issues to reduce the transmission time based on the stochastic probability process to crash the critical path. This method extends the lifetime of the sensors, by increasing the transmission speed and energy level of transmission. The proposed protocol CCP (Crashing Critical Path) proves its efficiency with other literature methods by extensive simulations regarding transmission time, delay factors and the lifetime of sensors.