Optimal Energy Efficiency Data Dissemination Strategy Based on Optimal Stopping Theory in Mobile Network

Abstract

Data dissemination application has become popular in mobile networks, which made energy consumed by mobile terminals growing rapidly. It is becoming an important research topic to reduce energy consumption for data dissemination in mobile networks. This paper studies the energy consumption optimization problem in mobile networks with Time-Varying channel quality, when multiple sending terminals use the same channel for data dissemination. Sending terminal transmits data with a certain probability for competing channel. After getting channel successfully, the sending terminal decides whether to distribute data according to channel quality, thereby saving energy. The maximization problem of average energy efficiency for distributing data with delay demand is constructed firstly in this paper. Then this maximization problem is transformed into an optimal stopping rule problem, and the optimal myopic stopping rule is obtained. Finally, the optimal transmission rate thresholds at each period are solved by optimal stopping theory, and then the optimal energy efficiency data dissemination strategy based on optimal stopping theory is realized. Simulation results show that the strategy proposed in this paper has bigger average energy efficiency and higher average delivery than other strategies, and achieves better energy optimization effect and network performance.