摘要
无人机作为一种新的通信设备,有望在物联网数据采集、监控等业务中发挥关键作用。为保证所采集数据的时效性,利用信息年龄来衡量无人机从物联网设备接收到的数据新鲜度。通过联合优化无人机轨迹和无人机与物联网设备的关联策略以最小化信息年龄加权和,并保证无人机累积飞行能量消耗满足预算要求。由于上述问题同时受短期和长期约束条件的限制,将问题建模为受约束的马尔可夫决策过程(CMDP),并利用Safe Actor-Critic来求解。仿真结果表明,所提算法在最小化信息年龄的同时,能有效保证能量预算。
As a novel communication device,unmanned aerial vehicle(UAV)is expected to play a key role in data collection,monitoring and applications in the Internet of Things(IoT).To ensure the timeliness of the collected data,this paper employs the Age of Information(AoI)to measure the freshness of the data received by the UAV from IoT devices.This paper jointly optimizes the UAV’s trajectory and UAV-devices association to minimize the weighted sum of AoI and ensure that the cumulative flight energy consumption of the UAV meets the energy budget requirement.Because the problem is confined by both short-term and long-term constraints,the problem is modeled as a constrained Markov decision process(CMDP)and solved by the Safe Actor-Critic approach.The simulation results show that our proposed scheme can effectively decrease AoI while guaranteeing the energy requirement.
作者
魏宪鹏
付芳
张志才
WEI Xianpeng;FU Fang;ZHANG Zhicai(College of Physics and Electronic Engineering,Shanxi University,Taiyuan 030006,China)
出处
《测试技术学报》
2024年第1期71-78,共8页
Journal of Test and Measurement Technology
基金
山西省基础研究计划自然科学研究面上资助项目(202103021224024)
山西省基础研究计划青年科学研究资助项目(20210302123021)
山西省重点研发计划资助项目(202202020101004)。