AI 中文总结
针对无人机物流网络中传统资源配置策略的滞后问题，提出流体动力学框架及流量感知非对称激活策略，实现服务可靠性与能耗的帕累托最优权衡。
AI 中文摘要
高频脉动物流无人机（UAV）集群的出现催生了“数字潮汐”，即对移动计算网络中可持续资源配置构成挑战的复杂流量动态。传统基础设施配置策略通常依赖基于静态快照的分析和局部密度估计，无法捕捉计算工作负载的宏观平流。因此，反应式资源激活存在固有滞后性，仅能获得名义效率提升，却会在推进波前处造成关键任务服务损失。为解决该问题，我们开发了一种基于流体的时空框架，通过显式求解连续性方程来表征工作负载流的宏观速度场。基于此框架，我们提出了一种流量感知的非对称激活策略，利用推导得到的信息流量向量作为需求传播的运动学前兆。与对称阈值法不同，所提控制逻辑将激活与去激活动态解耦。理论分析证实了流量信号的固有空间相位超前性，表明所提策略可生成主动保护环以补偿服务建立延迟，包括移动边缘计算容器冷启动导致的延迟。我们还推导了瞬时服务可用性和周期平均能效的闭式表达式，并制定了受服务质量惩罚的指标，用于评估严格中断约束下的有效能效。数值结果表明，所提流量驱动策略可实现对移动波前的零延迟跟踪，在服务可靠性与能耗之间实现帕累托最优权衡，在动态物流走廊中优于反应式基线方法。
英文摘要
The emergence of high-frequency pulsating logistics unmanned aerial vehicle (UAV) swarms gives rise to ``Digital Tides'', i.e., complex traffic dynamics that challenge sustainable resource provisioning in mobile computing networks. Conventional infrastructure provisioning strategies, which typically rely on static snapshot-based analysis and localized density estimation, fail to capture the macroscopic advection of computational workloads. As a result, reactive resource activation suffers from inherent hysteresis, yielding nominal efficiency gains at the cost of mission-critical service loss at the advancing wavefront. To address this issue, we develop a fluid-based spatiotemporal framework by explicitly solving the continuity equation to characterize the macroscopic velocity field of the workload flow. Building on this framework, we propose a flux-aware asymmetric activation strategy that leverages the derived information flux vector as a kinematic precursor of demand propagation. Unlike symmetric thresholding, the proposed control logic decouples activation and deactivation dynamics. Theoretical analysis confirms the intrinsic spatial phase-lead of the flux signal and shows that the proposed strategy generates a proactive guard ring to compensate for service setup latency, including delays caused by mobile edge computing container cold-starts. We further derive closed-form expressions for instantaneous service availability and period-average energy efficiency. In addition, we formulate a quality-of-service-penalized metric to evaluate effective energy efficiency under strict outage constraints. Numerical results show that the proposed flux-driven strategy enables zero-latency tracking of the mobile wavefront and achieves a Pareto-optimal trade-off between service reliability and energy consumption, outperforming reactive baselines in dynamic logistics corridors.
Comments17 pages, 11 figures. Accepted by IEEE Transactions on Mobile Computing
Journal refIEEE Transactions on Mobile Computing, early access, Apr. 2026
