Fog IoT-Blockchain Reinforced Task Distribution: Secure Deduplication Using Adaptive DeepReinforcement Learning in Cluster-based Fog IoT - Softcover

Ntambara, Boniface

Softcover

ISBN 10: 6207459008 ISBN 13: 9786207459001

Verlag: LAP LAMBERT Academic Publishing, 2024

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Boniface NTAMBARA, born in Rwanda in 1992, holds BSc in Electrical Power Engineering at University of Rwanda, Rwanda, in 2015; MSc in Industrial Engineering at Moi University, Kenya, in 2022, MSc in Embedded and Mobile Systems at Nelson Mandela African Institution of Science and Technology, Tanzania; Ph.D. Scholar in IoT-Embedded Computing Systems.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2024
• Sprache: Englisch
• ISBN 10: 6207459008
• ISBN 13: 9786207459001
• Einband: Taschenbuch
• Anzahl der Seiten: 52
• Kontakt zum Hersteller: Presses Academiques Francophones; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland