2019/03/13 by Onur Ayan, Mikhail Vilgelm, Ayan, Onur +7 · 4 citations
Computer Science · Engineering · Medicine · Psychology · #Age of Information Optimization #Cognitive Functions and Memory #Congenital Heart Disease Studies #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #IoT Networks and Protocols #Networking and Internet Architecture (cs.NI) #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1903.05356
openalex publication_date 2019/03/13 · openalex created_date 2022/07/29 · openalex updated_date 2026/07/28
Age-of-Information (AoI) is a recently introduced metric for network\noperation with sensor applications which quantifies the freshness of data. In\nthe context of networked control systems (NCSs), we compare the worth of the\nAoI metric with the value-of-information (VoI) metric, which is related to the\nuncertainty reduction in stochastic processes. First, we show that the\nuncertainty propagates non-linearly over time depending on system dynamics.\nNext, we define the value of a new update of the process of interest as a\nfunction of AoI and system parameters of the NCSs. We use the aggregated update\nvalue as a utility for the centralized scheduling problem in a cellular NCS\ncomposed of multiple heterogeneous control loops. By conducting a simulative\nanalysis, we show that prioritizing transmissions with higher VoI improves\nperformance of the NCSs compared with providing fair data freshness to all\nsub-systems equally.\n