Hybrid traffic oriented energy efficiency access strategy of wireless sensor network

Under the hybrid background of both real-time and non-real-time traffics, this research studied the adaptive listening/sleeping mechanism of dynamic access of wireless sensor network nodes. The network nodes delivering non-real-time traffic, could switch status among transmitting state, listening state and sleeping state. On one hand, the energy consumption of network nodes is very low during sleeping state which could reduce the average energy consumption of network nodes effectively; on the other hand, overlong sleeping time might cause transmission opportunity missing. Therefore, according to the traffic condition of channels, setting reasonable sleeping overtime of Wireless Sensor Network (WSN) nodes could balance the tradeoff between energy consumption and transmission efficiency, so as to maximize WSN energy transmission efficiency. In this study, the problem is modeled by continuous-time Markov theory. Then, the system model is analyzed based on perturbation analysis technique. To find the optimal sleeping time that maximizes the energy efficiency, a gradient algorithm is presented. Last, the feasibility of the proposed method is verified by the comparison of theoretical result and computer simulation.