物联网中的最优服务与决策调度
Age-optimal Service and Decision Scheduling in Internet of Things
摘要：
我们考虑物联网（IoT）系统，其中传感器以指数分布的间隔观察感兴趣的现象，并使用先来先服务（FCFS）策略将更新发送到监视器。在监视器处，接收到的更新用于以确定性或随机间隔做出决策。对于这个系统，我们调查的新鲜度，在这些决策时期使用的年龄决定（AuD）度量的更新。理论结果表明：1）当决策时间间隔为指数分布时，如果服务时间（例如，（2）当周期性地进行决策时，系统的平均AuD大于具有Poisson决策区间的相应系统的平均AuD，并且随着决策率的增加而减小到相应系统的平均AuD; 3）对于任何决策，错过使用接收到的更新的概率随着决策率而减小，并且如果服务时间是确定性的，则该概率最小。因此，对于物联网监控系统，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，以便接收到的更新在用于做出决策时尽可能新鲜。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
