A computing resource and spectrum resource allocation method for fog computing in the Internet of Things

Abstract

The invention provides a calculation resource and spectrum resource allocation method for fog computing in the Internet of Things, including: establishing a fog computing system model; initializing the quantum seed group and parameters, and obtaining the position of the quantum seed by measuring the quantum seed; According to the fitness value of the seed, the global optimal position of the quantum seed group is obtained and the elite position set of quantum seeds is selected; according to the quantum seed sowing rules, the quantum positions of all quantum seeds in the population are updated; the quantum positions of all updated quantum seeds are measured Get the corresponding position, calculate the fitness value of each quantum seed, update the global optimal position and the quantum seed elite position set; if the number of iterations is less than the preset maximum number of iterations, return to the fourth step; otherwise, terminate the iteration and output The global optimal position of the quantum seed group is obtained, and the corresponding computing resources and spectrum resource allocation schemes are obtained. The invention can solve the network energy efficiency optimization problem of fog computing in the Internet of Things.

Description

Technical field [0001] The present invention relates to a computational resource and spectral resource allocation method of fog calculation in an Internet of Things, belonging to the field of Internet of Things. Background technique [0002] With the rapid development of information technology, the information industry is promoting social changes in an unprecedented manner. Existing communication networks have higher demand for data transmission rate, energy efficiency and local service quality. Internet of Things (IoT) As an emerging communication technology, you can provide more information exchange opportunities for smart devices in modern communication scenarios. With the wide application of Internet of Things, smart cities, intelligent wearable devices, etc., demand for data calculations and information processing is growing. However, for the edge of the network users, remote information transmission of the marginal networked users will bring some problems, such as longer de...

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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

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