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Maximizing UAV Fog Deployment Efficiency for Critical Rescue Operations
Following that, We introduce a novel optimization strategy for UAV fog node placement in dynamic networks during evacuation scenarios, with a primary focus on ensuring robust connectivity and maximal coverage for mobile users, while extending the network's lifespan.
Selective Task offloading for Maximum Inference Accuracy and Energy efficient Real-Time IoT Sensing Systems
This problem is shown to be an instance of the unbounded multidimensional knapsack problem which is considered a strongly NP-hard problem.
Context-Aware Service Recommendation System for the Social Internet of Things
Finally, we propose a service recommendation framework for SIoT based on review aggregation and feature learning processes.
A Multi-Modal Latent-Features based Service Recommendation System for the Social Internet of Things
The Social Internet of Things (SIoT), is revolutionizing how we interact with our everyday lives.
