AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
The rapid expansion of IoT devices has resulted in a paradigm shift from centralized cloud computing models to highly distributed computing continua that incorporate IoT devices, edge gateways, fog nodes, regional cloudlets, and hyperscale cloud data centers. In this survey, we provide an overview of Edge-Fog-Cloud-IoT...
The proposed framework, EcoSense-AI, combines Energy-Weighted Federated Learning, Adaptive Differential Privacy, Energy-Aware Graph Neural Network-based topology modeling, and multi-objective resource optimization to facilitate secure, efficient, and adaptive edge-cloud collaborative intelligence for sustainable WSN-Io...
The rapid proliferation of Internet of Things (IoT) devices has resulted in an unprecedented increase in the volume of data they generate. Real-time processing and analysis of IoT data are essential for enabling timely decision-making and appropriate response actions. However, conventional cloudbased architectures are...
The ongoing digital transformation in power grids has made the Internet of Things (IoT) a critical component for the development of next generation smart grids. The article provides a detailed review on technologies related to IoT and their utilization within the current power grid ecosystem that includes various IoT l...
An adaptive edge gateway for ZigBee-based IoT networks that can switch between MQTT and CoAP as needed, and shows that adaptive switching improves packet delivery by 15–20% during faults in comparison to static setups and reduces recovery time without much extra overhead.
With increasing system complexity and attack sophistication, autonomous cyber defense has become essential in edge–cloud Internet of Things (IoT) ecosystems, requiring intelligent, secure, and scalable agent communication frameworks. This paper proposes FMAD (Federated Multi-Agent Defense), a conceptual federated multi...
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