Timely Monitoring of Dynamic Sources With Observations From Multiple Wireless Sensors

Age of Information (AoI) has recently received much attention due to its relevance for IoT sensing and monitoring. In this paper, we consider the problem minimizing AoI in a system which set sources are observed by multiple sensors many-to-many relationship, probability that sensor observes source depends on source’s state. This model represents many practical scenarios, such as when cameras or microphones deployed monitor objects moving certain areas. We formulate scheduling Markov Decision Process, show how age-optimal policy can be obtained. further partially observable variants problem, devise approximate policies large state spaces. The evaluations work well considered while fact observe is beneficial, especially there high uncertainty states.