Age of Information Optimization and State Error Analysis for Correlated Multi-Process Multi-Sensor Systems
arxiv(2024)
摘要
In this paper, we examine a multi-sensor system where each sensor may monitor
more than one time-varying information process and send status updates to a
remote monitor over a single channel. We consider that each sensor's status
update may contain information about more than one information process in the
system subject to the system's constraints. To investigate the impact of this
correlation on the overall system's performance, we conduct an analysis of both
the average Age of Information and source state estimation error at the
monitor. Building upon this analysis, we subsequently explore the impact of the
packet arrivals, correlation probabilities, and rate of processes' state change
on the system's performance. Next, we consider the case where sensors have
limited sensing abilities and distribute a portion of their sensing abilities
for different processes. We optimize this distribution to minimize the total
AoI of the system. Interestingly, we show that monitoring multiple processes
from a single source may not always be beneficial. Additionally, our results
highlight that the optimal sensing distribution for diverse arrival rates may
exhibit a fast regime change instead of undergoing smooth changes.
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