Update or Wait: How to Keep Your Data Fresh
Auburn University · Middle East Technical University · +2 more institutions
Abstract
In this paper, we study how to optimally manage the freshness of information updates sent from a source node to a destination via a channel. A proper metric for data freshness at the destination is the age-of-information, or simply age, which is defined as how old the freshest received update is, since the moment that this update was generated at the source node (e.g., a sensor). A reasonable update policy is the zero-wait policy, i.e., the source node submits a fresh update once the previous update is delivered, which achieves the maximum throughput and the minimum delay. Surprisingly, this zero-wait policy does not always minimize the age. This counter-intuitive phenomenon motivates us to study how to…
Citation impact
- FWCI
- 76.18
- Percentile
- 100%
- References
- 67
Authors
5Topics & keywords
- Computer science
- Node (physics)
- Markov decision process
- Network packet
- Mathematical optimization
- Moment (physics)
- Channel (broadcasting)
- Zero (linguistics)
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