Dynamic intelligent resource allocation for emergency situations

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Dynamic intelligent resource allocation for emergency situations Chang Zhi-xian 1 Received: 25 March 2020 / Accepted: 4 August 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020

Abstract 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. Keywords Differentiated services . Network resource . Particle swarm optimization . Tidal effect

1 Introduction In some natural disasters, fires, traffic accidents and other unexpected situations, technology can be used to improve the evacuation process in emergency situations. Usercentered is the main idea of the future 5G network architecture design, which requires that the 5G network has the ability to on demand network and flexible deployment in various scenarios. In this article, in particular, you can use the functions provided by software-defined networking (SDN) with smart devices for the Internet of Things. The use of the Internet of Things (IoT) is increasing. In particular, it is used in smart cities for energy and water management, healthcare, public safety, lighting and traffic management, etc. [1] In this paper, we propose an algorithm for dynamic resource allocation based on the sdn architecture,

This article is part of the Topical Collection: Special Issue on Network In Box, Architecture, Networking and Applications Guest Editor: Ching-Hsien Hsu * Chang Zhi-xian [email protected] 1

Xi’an University Of Posts & Telecommunications, Xi’an 710121, China

which can effectively manage emergencies. We provide differentiated services for forwarding available resources. By changing the behavior of network equipment deployed in the area, the utilization of network resources can be improved, and business priorities can be provided in emergency situations. With the increase in the number of user terminal, traffic growth and diversification of user req