无线供能体域网基于信息年龄的传输优化研究OA

In view of the problems of limited energy supply and insufficient data timeliness faced by the WBAN(Wireless Body Area Network),this study designs a transmission optimization strategy based on the WP-BAN(Wire-less-powered Body Area Network).A system model of the WP-BAN is established,taking into account the Markov-based data collection and transmission process,the energy supply and consumption process,and the AoI(Age-of-Information)growth process.Under the constraints of queue stability and link capacity,a discrete-time stochastic optimization problem is constructed to maximize the system utility with respect to the data sampling rate and data dis-card rate.The Lyapunov optimization theory is applied to transform the original problem into a deterministic optimiza-tion problem with multiple sequences in a single time slot,and an UMTEHS(Utility-Maximization Transmission Scheduling and Energy Harvesting Strategy)is designed.The BARON solver is used to solve the transformed optimi-zation problem within the Lyapunov solving framework,and the data transmission scheduling and energy harvesting rate at the next moment are optimized according to the queue state at the current moment.Simulation experiments ver-ify the effectiveness of the proposed strategy,which can achieve greater system utility and a smaller AoI while main-taining the energy-neutral operation of the system.