… To fully exploit the graph structures of services and handle the complexity of dynamic IoT
networks, we combine a novel neural network structure Graph Neural Network (GNN) with …

… monitors on active network nodes such as IoT devices, SDN forwarders, Fog Nodes, …
activities of the Graph Neural Network algorithm, we create simulated datasets of network flows of …

… However, selection of optimal relay nodes in time-varying networks is very … forwarding in
time-varying IoT networks. Most of the data forwarding algorithms consider only a single network …

… connectivity and network infrastructure are not pervasive. Hence coverage of IoT applications
… introducing another class of IoT networks called Opportunistic IoT (OppIoT) [10] networks. …

… In this section, the small-world characteristics of IoT networks based on Cayley graphs are
… The vertex forwarding factor is used to measure the maximum paths going through the node …

… Internet of Things (IoT), a wireless sensor network (WSN) is deployed for collecting the interested
data of an application field. Sensor nodes in an IoT … as the sensed data forwarding role. …

… a novel multicast forwarding mechanism targeting service discovery in IoT scenarios. The …
-power IoT networks with duty-cycled devices. The rationale behind the presented forwarding …

… Concurrency for Opportunistic Forwarding in duty-cycled IoT networks. COF achieves …
forwarding and COF outperforms the state-of-art protocols under diverse traffic load and network …

… is a key challenge of data forwarding for mobile applications. … reliable forwarding (TERF)
scheme for mobile IoT to minimize … mobile IoT network is modeled as a weighted directed graph …

… The shortage of TCAM becomes a fatal bottleneck for scalable flow management in SDN-based
IoT since billions of IoT devices are connected in the network. One promising direction in …