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Age-of-Information vs. Value-of-Information Scheduling for Cellular Networked Control Systems

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arxiv 1903.05356 v1 pith:6K5FVEUF submitted 2019-03-13 cs.IT cs.NIcs.SYeess.SYmath.IT

classification cs.ITcs.NIcs.SYeess.SYmath.IT
keywords controlmetricncssage-of-informationcellulardatafreshnessnetworked
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Age-of-Information (AoI) is a recently introduced metric for network operation with sensor applications which quantifies the freshness of data. In the context of networked control systems (NCSs), we compare the worth of the AoI metric with the value-of-information (VoI) metric, which is related to the uncertainty reduction in stochastic processes. First, we show that the uncertainty propagates non-linearly over time depending on system dynamics. Next, we define the value of a new update of the process of interest as a function of AoI and system parameters of the NCSs. We use the aggregated update value as a utility for the centralized scheduling problem in a cellular NCS composed of multiple heterogeneous control loops. By conducting a simulative analysis, we show that prioritizing transmissions with higher VoI improves performance of the NCSs compared with providing fair data freshness to all sub-systems equally.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A Whittle Index Approach to Minimizing Functions of Age of Information

    cs.IT 2019-08 conditional novelty 6.0 of 10

    For two status-update sources with reliable channels, the Whittle index policy exactly minimizes the time-average of any non-decreasing cost function of Age of Information.

  2. How often should I access my online social networks?

    cs.SI 2019-08 conditional novelty 5.0 of 10

    Under Poisson content generation and exponential revisit times, the optimal social media access rate is μ* = λ((K/c)^(1/(K+1)) - 1), with λ the content rate, K the timeline size, and c the cost per access.

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