Resource-Aware Intelligent Communication Systems. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 2026
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EUR 122,95
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Resource-Aware Intelligent Communication Systems | Mario Köppen (u. a.) | Buch | Springer Tracts in Human-Centered Computing | ix | Englisch | 2026 | Springer | EAN 9783032069146 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Codice articolo 134503427
- Titolo
- Resource-Aware Intelligent Communication Systems
- Autore
- Mario Köppen (u. a.)
- Editore
- Springer
- Anno di pubblicazione
- 2026
- Condizione
- Neu
- Rilegatura
- Buch
- Lingua
- inglese
- ISBN 10
- 3032069149
- ISBN 13
- 9783032069146
- Peso dell'articolo
- 346 grammi
- Dimensioni
- 241 x 160 x 13 mm
- Cataloghi dei venditori
- Bücher
This book reflects on the foundations and real-world situations for the special case of resource-aware communication systems. The surge in sensors and communication devices has brought in an explosion of data, necessitating a greater demand for computational resources for processing tasks, posing serious challenges to the optimal sharing of available resources among users, rendering the resource-sharing proposition even intractable at times.
By introducing a generic relational framework, the contributory chapters treat the resource-sharing problem as an optimization problem with reference to the optimal utilization of the underlying resources to attain user satisfaction and fairness among users in resource access. Case studies highlighting specific resource-aware intelligent communication systems are also presented for the completeness of the treatment.
The intended audience includes communication technologists and computational scientists.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Dalla quarta di copertina
This book reflects on the foundations and real-world situations for the special case of resource-aware communication systems. The surge in sensors and communication devices has brought in an explosion of data, necessitating a greater demand for computational resources for processing tasks, posing serious challenges to the optimal sharing of available resources among users, rendering the resource-sharing proposition even intractable at times.
By introducing a generic relational framework, the contributory chapters treat the resource-sharing problem as an optimization problem with reference to the optimal utilization of the underlying resources to attain user satisfaction and fairness among users in resource access. Case studies highlighting specific resource-aware intelligent communication systems are also presented for the completeness of the treatment.
The intended audience includes communication technologists and computational scientists.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.