A copula multi-objective distribution estimation method for optimizing the RFID application system of the Internet of Things

Abstract

The invention discloses a Copula multi-target distribution estimation method for optimizing an RFID (Radio Frequency IDentification) application system of the Internet of Things. The method comprisesthe following steps that: a multi-target feature deployed by aiming at the RFID application system of the Internet of Things comprehensively considers a k-coverage target, a conflict interference target, a load balance target, an economic target and the like, and a multi-target optimization mathematical model which embeds the virtual force calculation of mutual influence between a reader and an obstacle as well as between the reader and the reader; and a Copula multi-target distribution estimation algorithm for solving the model is given, the function of edge distribution and a Copula functionare seperably estimated to realize the construction of a probability model, and on the basis, various sorting methods are adopted to realize the generation and the selection of a Pareto non-domination solution set. The model established by the method more approaches to a practical situation, and meanwhile, a modeling process is simple and clear, easy in implementation, low in complexity and quickand effective.

Description

technical field [0001] The invention relates to the technical field of RFID application and system optimization, in particular to a Copula multi-objective distribution estimation method for optimizing the RFID application system of the Internet of Things. Background technique [0002] In recent years, with the continuous development of Internet of Things technology, a large number of RFID (Radio Frequency Identification) application systems need to be planned and constructed. How to plan and deploy an efficient and low-cost RFID application system has become a very important issue in the application of RFID technology. Task. Deploying an IoT RFID application system needs to consider many factors and constraints such as application environment, coverage, interference, load balance, reading rate, equipment cost, etc. The modeling and optimization process is very complicated, which makes it a challenging task in RFID applications. one of the problems. As the scale of the RFID...

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Problems solved by technology

[0004] However, there is a problem with the above methods, that is, the established model is a single-objective optimization model, and the optimization method uses a single-objective optimization algorithm. However, the actual optimal deployment of the RFID application system of the Internet of Things needs to consider optimizing multiple objectives at the same time, which belongs to the multi-objective optimization model. The objective optimization problem has the characteristics of high dimensionality and nonlinearity

Its optimal solution is not a single solution, but a set of Pareto non-dominated solutions. How to effectively solve the Pareto non-dominated solution set of this type of problem is one of the keys to optimize deployment decisions, but there is still a lack of solutions for such problems. A method that has fast convergence speed, high efficiency, and is not easy to fall into a local optimal solution

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