Journal
IEEE TRANSACTIONS ON INFORMATION THEORY
Volume 68, Issue 9, Pages 6151-6173Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIT.2022.3177891
Keywords
Markov processes; Indexes; Monitoring; Measurement; Job shop scheduling; Uncertainty; Entropy; Uncertainty of information; RMAB; information freshness; AoI; scheduling
Funding
- University Grant Committee of the Hong Kong Special Administrative Region, China, through the General Research Funds [14200221]
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This paper proposes using the uncertainty of information, measured by Shannon's entropy, as a metric for information freshness. The system considered in the paper involves a central monitor observing multiple binary Markov processes through multiple communication channels.
This paper proposes using the uncertainty of information (UoI), measured by Shannon's entropy, as a metric for information freshness. We consider a system in which a central monitor observes M binary Markov processes through m communication channels (m
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