JDACO: Joint Data Aggregation and Computation Offloading in UAV-Enabled Internet of Things for Post-Disaster Scenarios

Owing to high flexibility and rapid deployment, unmanned aerial vehicles (UAVs) can offer network coverage for Internet of Things (IoT) devices in post-disaster scenarios. UAV-aided mobile edge computing (MEC) provides computational support and facilitates optimal decision-making processes for groun...

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Veröffentlicht in:	IEEE internet of things journal 2024-05, Vol.11 (9), p.16529-16544
Hauptverfasser:	Raivi, Asif Mahmud, Moh, Sangman
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autonomous aerial vehicles Computation offloading Computational modeling Cooperative learning Data aggregation Data management Deep learning Delays Disasters Edge computing Energy consumption Internet of Things Internet of Things (IoT) Machine learning Markov chains Mobile computing mobile edge computing (MEC) multiagent reinforcement learning Multiagent systems Network latency Optimization Task analysis unmanned aerial vehicle (UAV) Unmanned aerial vehicles
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