Abstract
This paper proposes the classification standard of supply chain structure from three different aspects: the complexity of the supply chain node enterprises, the reliability of the supply chain, and the optimization goal. In addition, this article starts from the characteristics of agriculture itself, according to the actual needs of the agricultural supply chain, considers the feasibility of the solution strategy from different sides, and gives related models, which solve the related problems in the agricultural supply chain to a certain extent. At present, there are many resource allocation algorithms at the edge of mobile networks, but the existing resource allocation algorithms still have the problem of high computational complexity and can still solve the above problems in resource utilization optimization. In order to solve these problems, this paper proposes a system architecture of the agricultural industry Internet of Things based on edge computing. The main motivations of this article are to improve the stability and usability of the system, and to enhance agricultural wisdom, so as to provide a reference for the development of precision agriculture. According to this method, Firstly, from the perspective of how to improve the energy efficiency of mobile terminals, methods to improve the energy efficiency of mobile terminals are studied in multi-user systems where mobile terminals compete for MEC servers with limited computing resources. Then, this paper focuses on the waste of computing resources caused by user movement under the scenario of limited server coverage in MEC system and studies the problem from the perspective of effective management of computing resources. Experimental results show that the proposed algorithm has good performance.
Highlights
With the development of economy and society, the economic competition between enterprises or regions has been transformed into the competition of their respective supply chains
Considering the characteristics of mobile edge computing network, this paper studies the resource allocation algorithm based on system benefit optimization under two typical scenarios: mobile edge computing network considering cognitive technology and mobile edge computing network with cache and service type
A distributed resource allocation algorithm based on ADMM is proposed in the mobile edge computing network scenario considering cognitive technology
Summary
With the development of economy and society, the economic competition between enterprises or regions has been transformed into the competition of their respective supply chains. Part of the literature resource allocation algorithm is proposed based on system performance via benefit functions of the system planning, system can comprehensively considering various constraints and flexible to achieve the aim of system effectively this approach has some problems, such as system benefit function is difficult to design, such as high complexity leads to low comprehensive performance optimization In view of these problems, a variety of ways to optimize the benefit function have appeared in the literature.The author considers a mobile edge computing network scenario with multiple user devices and multiple base stations, in which each mobile edge computing service provider has only limited resources, and the system needs to maximize system benefits through a reasonable resource allocation algorithm. Where: the deviation value of the n-th sampling time of the computer is expressed by e(n) ; the deviation value of the n 1 th sampling time of the computer is expressed by e(n 1) ; the sampling period of the computer is expressed by T; the integral coefficient is expressed by Ki , and
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