… Large delays found in many multi-hop networks and overloaded cloud server farms prove
to be unacceptable, and the local, high performance nature of distributed intelligence can …

… a solution for the AI distributed deployment at the deep edge, which lays its foundation in the
IoT virtualization concept. We design a virtualization layer hosted at the network edge that is …

… intelligence and identifies several important research challenges related to machine learning
+ distributed IoT … well-suited to virtualization of IoT networks. For example, smart cities may …

… network function (VNF) deployment and SFC embedment by the improved double deep Q
network … can be applied widely in wireless IoT networks. To reduce the resource consumption …

… vision of autonomic IoT and real-time intelligence, … distributed intelligence. Therefore, the
problem that this chapter addresses is feasibility investigation of MEC to provide intelligence by …

… a convolutional neural network (CNN) on resource-constraint IoT devices to make them
intelligent and realistic. Evaluation was done by deploying the proposed model on five IoT edge …

… The Internet-of-Things (IoT), 5G, and fog networks have emerged as the most crucial
researched areas due to their numerous applications for smart cities to provide the desired …

… critical to the success in achieving distributed intelligence, particularly when involving a
large … and not sustainable for many scalable sensor networks and IoT implementation. [ 209 ] …

… to as the “Internet of Things” (IoT). The idea is to form an intelligent network of these humongous
numbers of devices, systems and equipments. Further, the ambit of IoT is expanding to …

… Recent distributed intelligent approach was presented by Rahman et al. [2], they proposed
a Distributed Intelligence model for IoT gateway based on belief network and reinforcement …