Optimal link control of WSN considering the network activity interference with stochastic geometry theory

Wireless Sensor Network(WSN) has become a hot topic in recent years. However, WSN's application areas still been limited beacase of the constrained energy. Traditionally, using the minimal transmitting power of sensor node by k-hop interference model is a popular way. However, network activity was not considered. In this paper, we derived a normal transmitted power level using network activity aware interference with stochastic geometry theory. For network performance improvement, active nodes with the enhanced transmitted power dynamically select suitable values of data-rate relying on channel state information (CSI). Experiments results show that our proposed strategy can improve the energy efficiency of WSNs.