Computing resource and spectrum resource distribution method for fog computing in Internet of Things

Abstract

The invention provides a computing resource and spectrum resource distribution method for fog computing in the Internet of Things. The method comprises the following steps: establishing a fog computing system model; initializing a quantum seed group and parameters, and measuring the quantum seeds to obtain the positions of the quantum seeds; calculating fitness values of all quantum seeds to obtain a global optimal position of the quantum seed group and selecting a quantum seed elite position set; updating quantum positions of all quantum seeds in the population according to a quantum seed sowing rule; measuring the quantum positions of all the updated quantum seeds to obtain corresponding positions, calculating a fitness value of each quantum seed, and updating a global optimal position and a quantum seed elite position set; if the number of iterations is smaller than the preset maximum number of iterations, returning to the fourth step; and otherwise, terminating iteration, and outputting the global optimal position of the quantum seed group to obtain a corresponding computing resource and spectrum resource distribution scheme. According to the method, the network energy efficiency optimization problem of fog computing in the Internet of Things can be solved.

Description

technical field [0001] The invention relates to a computing resource and spectrum resource allocation method for fog computing in the Internet of Things, and belongs to the technical field of the Internet of Things. Background technique [0002] With the rapid development of information technology, the information industry is promoting social change in an unprecedented way, and the existing communication network has higher requirements for data transmission rate, energy efficiency and local service quality. As an emerging communication technology, the Internet of Things (IoT) can provide more information exchange opportunities for smart devices in modern communication scenarios. With the widespread application of IoT technologies such as smart grids, smart cities, and smart wearable devices, the demand for data computing and information processing is increasing. However, for edge IoT users, the remote information transmission of edge IoT users will bring some problems, such...

AI Technical Summary

Problems solved by technology

"Joint Radio and Computational Resource Allocation in IoT Fog Computing" published in "IEEE Transactions on Vehicular Technology" (2018, Vol.67, No.8, pp.7475-7484) by Yunan Gu et al. The issue of benefit has been discussed, but the maximum energy efficiency of the entire network cannot be obtained, and there is a large room for improvement

Images