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Fog IoT-Blockchain Reinforced Task Distribution: Secure Deduplication Using Adaptive DeepReinforcement Learning in Cluster-based Fog IoT - Softcover
Synopsis
The fog-assisted Internet-of-Things (IoT) is gaining interest due to its potential to cause duplicate data transmission. This paper proposes task distribution and secure deduplication over Cluster-based IoT using four layers: IoT Devices Layer, Fog Layer, Cloud Layer, and Service Layer. The IoT devices layer deploys devices to sense air pollutants, authenticates them to the cloud server, and uses Adaptive Rewards Optimized Deep Reinforcement Learning (ARO-DRL) for cluster-head selection. The fog layer uses SHA-3 for duplicate verification and the Emperor Penguin Optimization Algorithm for fog node selection. The Hybrid cloud environment protects organizations' data by combining private and public clouds. Experiments were conducted using NS3 with Java programming, and simulation results showed improvements in average latency, user satisfaction, network lifetime, energy consumption, and security strength.
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Fog IoT-Blockchain Reinforced Task Distribution
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LAP LAMBERT Academic Publishing Jan 2024, 2024
ISBN 10: 6207459008
ISBN 13: 9786207459001
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch. Seller Inventory # 9786207459001
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Fog IoT-Blockchain Reinforced Task Distribution : Secure Deduplication Using Adaptive DeepReinforcement Learning in Cluster-based Fog IoT
Published by
LAP LAMBERT Academic Publishing
ISBN 10: 6207459008
ISBN 13: 9786207459001
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The fog-assisted Internet-of-Things (IoT) is gaining interest due to its potential to cause duplicate data transmission. This paper proposes task distribution and secure deduplication over Cluster-based IoT using four layers: IoT Devices Layer, Fog Layer, Cloud Layer, and Service Layer. The IoT devices layer deploys devices to sense air pollutants, authenticates them to the cloud server, and uses Adaptive Rewards Optimized Deep Reinforcement Learning (ARO-DRL) for cluster-head selection. The fog layer uses SHA-3 for duplicate verification and the Emperor Penguin Optimization Algorithm for fog node selection. The Hybrid cloud environment protects organizations' data by combining private and public clouds. Experiments were conducted using NS3 with Java programming, and simulation results showed improvements in average latency, user satisfaction, network lifetime, energy consumption, and security strength. Seller Inventory # 9786207459001
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Fog IoT-Blockchain Reinforced Task Distribution
Published by
LAP Lambert Academic Publishing
ISBN 10: 6207459008
ISBN 13: 9786207459001
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Softcover
Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The fog-assisted Internet-of-Things (IoT) is gaining interest due to its potential to cause duplicate data transmission. This paper proposes task distribution and secure deduplication over Cluster-based IoT using four layers: IoT Devices Layer, Fog Layer, C. Seller Inventory # 1401666917
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Fog IoT-Blockchain Reinforced Task Distribution
Published by
LAP LAMBERT Academic Publishing Jan 2024, 2024
ISBN 10: 6207459008
ISBN 13: 9786207459001
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The fog-assisted Internet-of-Things (IoT) is gaining interest due to its potential to cause duplicate data transmission. This paper proposes task distribution and secure deduplication over Cluster-based IoT using four layers: IoT Devices Layer, Fog Layer, Cloud Layer, and Service Layer. The IoT devices layer deploys devices to sense air pollutants, authenticates them to the cloud server, and uses Adaptive Rewards Optimized Deep Reinforcement Learning (ARO-DRL) for cluster-head selection. The fog layer uses SHA-3 for duplicate verification and the Emperor Penguin Optimization Algorithm for fog node selection. The Hybrid cloud environment protects organizations' data by combining private and public clouds. Experiments were conducted using NS3 with Java programming, and simulation results showed improvements in average latency, user satisfaction, network lifetime, energy consumption, and security strength.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9786207459001
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Fog IoT-Blockchain Reinforced Task Distribution | Secure Deduplication Using Adaptive DeepReinforcement Learning in Cluster-based Fog IoT
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LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207459008
ISBN 13: 9786207459001
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Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Fog IoT-Blockchain Reinforced Task Distribution | Secure Deduplication Using Adaptive DeepReinforcement Learning in Cluster-based Fog IoT | Boniface Ntambara | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207459001 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 128589604