On the Age of Information in Internet of Things Systems with Correlated Devices
Bo Zhou, Walid Saad

TL;DR
This paper studies the scheduling of correlated IoT devices to minimize age of information and energy costs, deriving threshold-based policies and demonstrating their effectiveness through simulations.
Contribution
It introduces a novel MDP framework for correlated IoT device scheduling considering both AoI and energy costs, with explicit policy structures.
Findings
Optimal policies are threshold-based and depend on channel conditions.
Special case with only type-II devices simplifies the MDP and retains threshold structure.
Simulation results confirm the effectiveness of the proposed policies.
Abstract
In this paper, a real-time Internet of Things (IoT) monitoring system is considered in which multiple IoT devices must transmit timely updates on the status information of a common underlying physical process to a common destination. In particular, a real-world IoT scenario is considered in which multiple (partially) observed status information by different IoT devices are required at the destination, so that the real-time status of the physical process can be properly re-constructed. By taking into account such correlated status information at the IoT devices, the problem of IoT device scheduling is studied in order to jointly minimize the average age of information (AoI) at the destination and the average energy cost at the IoT devices. Particularly, two types of IoT devices are considered: Type-I devices whose status updates randomly arrive and type-II devices whose status updates…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAge of Information Optimization · Congenital Heart Disease Studies · IoT Networks and Protocols
