面向信息年龄的应急无人机网络低能耗信息采集和传输调度机制

AoI-oriented low-energy-consumption information collection and transmission scheduling mechanism for emergency UAV networks

为解决公网设施缺失、卫星信号不稳等应急场景下,信息无法及时回传与上报的问题,针对信息采集与传输能力受能耗制约的应急无人机网络,提出了一种面向信息时效性的信息采集和传输调度机制。引入了信息年龄作为信息时效性的衡量指标和约束,构建了以最小化无人机信息采集和传输能耗为目标的随机优化问题。基于Lyapunov优化理论,设计了信息时效性约束的虚拟队列,将原问题转化为保证系统稳定前提下的无人机数据采集与传输控制2个子问题,并分别提出了对应的启发式算法。仿真结果表明,相较于传统的队列调度方案,所提算法在保证信息时效性在一定范围的前提下,具备更快的收敛速率和更低的系统平均能耗开销。

To address the information collection and aggregation issue in emergency scenarios characterized by the lack of public infrastructure and unstable satellite signals,an information timeliness-oriented information collection and transmission scheduling mechanism was proposed for emergency unmanned aerial vehicle(UAV)networks where infor-mation collection and transmission capabilities were constrained by energy consumption.Considering the age of informa-tion(AoI)as the metric and constraint of information timeliness,a stochastics optimization problem was constructed with the objective of minimizing UAV information collection and transmission energy consumption.By resorting to the Lya-punov optimization technique,virtual queues were established to impose information timeliness constraints on queue lengths,and the original problem was decoupled into two sub-problems,information collection and transmission sche-duling,with the premise of ensuring system stability.Corresponding heuristic algorithms were proposed for each sub-problem.Simulation results demonstrate that the proposed algorithm outperforms conventional queue scheduling ap-proaches in convergence rates and system energy consumption with guaranteed information timeliness.