A Channel-Aware Expected Energy Consumption Minimization Strategy in Wireless Networks

摘要

With the rapid development of wireless network technology, saving energy consumption has become a very important topic to build a green network in wireless networks. Due to the time-varying characteristics of the channel, it is possible to obtain a higher utilization for energy by using the channel with good state in wireless communication. From the view of the data transmission energy consumption of the whole wireless network, we proposed the Expected Energy Consumption Minimization Strategy (E2CMS) for data transmission based on the optimal stopping theory. The E2CMS delays the transmission of data until the best desired channel state is found, taking into account the maximum transmission delay and the given receiver power. In this paper, we first construct an energy consumption minimization problem with quality of service constraints. Then we prove that the E2CMS is a pure threshold strategy by the optimal stopping theory, and obtain the power threshold by solving a fixed-point equation using backward induction. Finally, simulations are carried out in a typical small-scale fading channel model. The E2CMS is com-pared with a variety of different transmission scheduling strategies. The results show that the E2CMS has smaller aver-age energy consumption per unit of data and significantly im-proves the network performance.