论文标题
物联网中的年龄最佳服务和决策计划
Age-optimal Service and Decision Scheduling in Internet of Things
论文作者
论文摘要
我们考虑了一个物联网（IoT）系统，其中传感器观察了具有指数分布的间隔的感兴趣现象，并将更新传递给使用第一个上述第1（FCFS）策略的显示器。在监视器上，收到的更新用于确定性或随机间隔做出决策。对于此系统，我们使用Degies（AUD）度量的年龄在这些决策时期调查了更新的新鲜感。理论结果表明，1）当决策是用指数分布的间隔做出的，如果服务时间（例如，传输时间）分布均匀分布时，系统的平均音频比呈指数分布时的分布较小，并且如果确定性是最小的，则将是最小的； 2）当定期做出决策时，系统的平均音频比决策率更大，并降低到泊松决策间隔的相应系统的平均音频； 3）使用收到的更新进行任何决策的可能性随着决策率而降低，如果服务时间是确定性的，则是最小的。因此，对于物联网监视系统，建议使用确定性监控方案，确定性传输方案和泊松决策方案，以便在使用时，收到的更新尽可能新鲜。
We consider an Internet of Things (IoT) system in which a sensor observes a phenomena of interest with exponentially distributed intervals and delivers the updates to a monitor with the First-come-First-served (FCFS) policy. At the monitor, the received updates are used to make decisions with deterministic or random intervals. For this system, we investigate the freshness of the updates at these decision epochs using the age upon decisions (AuD) metric. Theoretical results show that 1) when the decisions are made with exponentially distributed intervals, the average AuD of the system is smaller if the service time (e.g., transmission time) is uniformly distributed than when it is exponentially distributed, and would be the smallest if it is deterministic; 2)when the decisions are made periodically, the average AuD of the system is larger than, and decreases with decision rate to, the average AuD of the corresponding system with Poisson decision intervals; 3)the probability of missing to use a received update for any decisions is decreasing with the decision rate, and is the smallest if the service time is deterministic. For IoT monitoring systems, therefore, it is suggested to use deterministic monitoring schemes, deterministic transmitting schemes, and Poisson decision schemes, so that the received updates are as fresh as possible at the time they are used to make decisions.
