Disasters, such as earthquakes, typhoons, and tsunamis, usually cause extreme damages to
the communication infrastructures, which results in a heavy recovery workload and seriously …

With the development of communication and transmission technologies, more and more
applications, like Internet of vehicles and tele-medicine, become more sensitive to network …

Reliable communication in disaster-hit areas is crucial for effective rescue and relief
operations. This has encouraged the emergence of innovative, infrastructure-less, and ad …

Traditional Internet of Things (IoT) networks have limited coverage and may experience
failures due to natural disasters affecting critical IoT devices, making it difficult for them to …

In terms of avoiding congestion, due to the rapid change of satellite network topology and
network traffic, traditional satellite network routing algorithms have problems in …

Natural disasters such as earthquakes have consecutive impacts on the smart grid because
of aftershock activities. To guarantee service requirements and smart grid stable operations …

Deep learning has shown great potential in automatically generating routing protocols for
different optimization objectives. Although it may bring superior performance gains, there …

Natural disaster can strike at any time and can ruin large regions damaging houses,
buildings, as well as physical communication infrastructure. Therefore, a network backup is …

We researched and designed the routing algorithms GDQR and GD3QR based on deep
reinforcement learning and graph neural networks, and completed model training and per …

Software Defined Networking (SDN) provides opportunities for flexible and dynamic traffic
engineering. However, in current SDN systems, routing strategies are based on traditional …