Dynamic intelligent resource allocation for emergency situations

When facing some emergency situations, such as fires, traffic accidents, etc., it is necessary for the network to use the available information to provide the best and fastest access routes. In these cases, it is important to centrally manage all devices throughout the network, so a software-defined network (SDN) -based architecture is used to manage and control emergency service actions and evacuation plans. At this time, differentiated services are provided to customers in emergency and non-emergency situations through network slicing, and resource allocation is performed for network slicing such as delay and bandwidth parameters. In this paper, the first resource management plan is the merit of quick converging to the global optimal solution which was used to design the evaluation function of the network resource management; the second is monitors and analyzes access traffic and centralizes control and management to meet the bandwidth requirements of tenants to counter the tidal effect. The ability of fast random search of particle swarm optimization was used to realize the update and optimization. The simulation results show that can reduce the energy consumption of the network and improve the utilization rate of cyber source at the same time.