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230515 ||| eng |
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|a 9783036572932
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|a 9783036572925
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|a books978-3-0365-7293-2
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| 100 |
1 |
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|a Ephremides, Anthony
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| 245 |
0 |
0 |
|a Age of Information: Concept, Metric and Tool for Network Control
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (400 p.)
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| 653 |
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|a communication control co-design
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| 653 |
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|a channel quality
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| 653 |
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|a Energy industries and utilities / bicssc
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| 653 |
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|a wireless powered communication networks
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| 653 |
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|a urgency of information
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| 653 |
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|a information update
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| 653 |
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|a scheduling
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| 653 |
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|a wireless networked control system
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| 653 |
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|a timely tracking of multiple processes
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| 653 |
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|a discrete time status updating system
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| 653 |
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|a discrete-time Markov chain
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| 653 |
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|a History of engineering and technology / bicssc
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| 653 |
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|a multiple access channels
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| 653 |
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|a cognitive radio network
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| 653 |
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|a timely status updates
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| 653 |
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|a status update
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| 653 |
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|a Technology: general issues / bicssc
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| 653 |
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|a dynamic programming
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| 653 |
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|a convex optimization
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| 653 |
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|a scheduling policy
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| 653 |
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|a stochastic hybrid systems
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| 653 |
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|a wireless networks
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| 653 |
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|a value of information
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| 653 |
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|a resource constraints
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| 653 |
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|a reinforcement learning
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| 653 |
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|a multiple-input multiple-output Rayleigh fading channel
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| 653 |
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|a information freshness
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| 653 |
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|a gossip networks
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| 653 |
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|a parallel servers
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| 653 |
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|a real-time state update
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| 653 |
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|a RF energy-harvesting
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| 653 |
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|a probability generation function
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| 653 |
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|a context-awareness
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| 653 |
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|a software-defined radio
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| 653 |
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|a noisy Ornstein-Uhlenbeck process
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| 653 |
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|a cyber-physical system
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| 653 |
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|a constrained Markov decision process
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| 653 |
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|a Lyapunov optimization
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| 653 |
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|a multi-user system
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| 653 |
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|a timely infection tracking
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| 653 |
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|a reliable backup energy
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| 653 |
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|a Age of Information
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| 653 |
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|a Markovian infection spread model
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| 653 |
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|a age of incorrect information
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| 653 |
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|a stationary distribution
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| 653 |
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|a query age of information
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| 653 |
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|a age of information
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| 653 |
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|a energy harvesting
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| 653 |
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|a status update system
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| 653 |
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|a probabilistic preemption
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| 653 |
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|a utility maximization
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| 653 |
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|a remote control
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| 700 |
1 |
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|a Sun, Yin
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| 700 |
1 |
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|a Ephremides, Anthony
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| 700 |
1 |
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|a Sun, Yin
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 024 |
8 |
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|a 10.3390/books978-3-0365-7293-2
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/100099
|z DOAB: description of the publication
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| 856 |
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|u https://www.mdpi.com/books/pdfview/book/7192
|7 0
|x Verlag
|3 Volltext
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|a 900
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|a 000
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|a 333
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|a 380
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|a 600
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|a 620
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|a The concept of information freshness has developed over the last few years into an active and rapidly growing area of research. It has become known as the Age of Information (AoI). After its initial formal introduction, it became clear that it was very relevant (if not crucial) for numerous applications, ranging from autonomous vehicle systems, the Internet of Things, real-time computing to database access, caching, and wireless communications. More importantly, the combination of the transmission delay and sampling rate that are involved in the formulation of the AoI concept has made it clear that there are far-reaching consequences in the relationship between signal processing, information theory, and control theory at a fundamental level. In this Special Issue, we received contributions that span the full range of applications and theoretical foundations of the AoI concept, which, in fact, is also a performance metric and an analysis tool. Of special interest is the role of AoI in bridging different disciplines and the use of AoI in the analysis and optimization involved in important applications.
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