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RFID antenna optimal deployment method based on jellyfish swarm algorithm

A swarm algorithm and jellyfish technology, applied in computer components, calculations, calculation models, etc., can solve the problems of not proposing the primary and secondary, and not getting the optimal deployment plan of RFID antennas

Active Publication Date: 2020-06-16
GUANGXI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The implementation of this invention optimizes multiple objectives such as positioning accuracy, coverage degree, and system interference, and has the advantages of high positioning accuracy and perfect model, but it does not propose to optimize the primary and secondary of its objectives. If the three objectives are optimized at the same time, it is easy to fall into local secondary Excellent, not the best RFID antenna deployment solution

Method used

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  • RFID antenna optimal deployment method based on jellyfish swarm algorithm
  • RFID antenna optimal deployment method based on jellyfish swarm algorithm
  • RFID antenna optimal deployment method based on jellyfish swarm algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0071] see figure 1 , is the distribution of tags randomly generated within a specified range in an RFID antenna optimal deployment method based on the jellyfish swarm algorithm of the present invention. In the RFID system, there is a one-to-one relationship between the position status of the jellyfish group and the position status of the reader. An RFID reader represents a jellyfish, and the jellyfish group represents the feasible solution of the entire area. Each jellyfish corresponds to a potential untie. The N readers in the system correspond to the N 3K-dimensional jellyfish group individuals in the system, and the tags are randomly distributed in the experimental area. The jellyfish group continuously searches for food sources through a chain structure, constantly updates the jellyfish's position, and re- Calculate the fitness of the updated jellyfish, and compare the fitness, so that the algorithm can get a solution set after reaching the maximum number of iterations. ...

example

[0076] x=[24.4, 2.9, 0.3, 27.1, 8.4, 0.7, 3.8, 16.4, 1.5, 27.4, 28.7, 0.9, 19.0, 28.9, 1.8]

[0077] At this point, suppose there are 5 jellyfish, and each jellyfish corresponds to a reader. The example is as follows:

[0078]

[0079] Step 3) Model building stage: use the organized training data as input, optimize the training data through the jellyfish swarm algorithm, and construct the jellyfish swarm algorithm optimization deployment model;

[0080] Step 4) Optimizing the deployment stage: define the number of iterations L=500, when the number of iterations is completed, the algorithm ends, or when the solution set in the algorithm cannot be changed, the algorithm ends. At this time, according to the information of each reader, the fitness is calculated based on the label, and a set of data with 5 rows and 3 columns is obtained. The structure is as follows:

[0081]

[0082] The example is as follows to get the fitness matrix:

[0083]

[0084] Through the compa...

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Abstract

The invention relates to an RFID antenna optimal deployment method based on a jellyfish swarm algorithm. According to the method, multiple targets of RFID antenna optimal deployment are optimized by using a jellyfish swarm algorithm, and a solution of optimal deployment is found by using a solution set searching mode, so that the RFID antenna deployment performance is improved. The system comprises an RFID reference tag, a reader antenna, a reader terminal, a WiFi wireless transceiver module and a PC upper computer. The system and the method comprise the following stages: an initialization stage, a parameter encoding stage, a solution model construction stage and an optimal deployment stage. Compared with the prior art, the method has the advantages of few iterations, high operation precision, no gradient optimization, low cost, efficient performance and the like.

Description

technical field [0001] The invention relates to the technical field of radio frequency optimal deployment, in particular to an RFID antenna optimal deployment method based on jellyfish swarm algorithm. Background technique [0002] The Internet of Things is a network that extends and expands its client end to any item on the basis of the Internet for information exchange and communication. The key technology of the Internet of Things, radio frequency identification (Radio Frequency Identification, RFID) technology is an automatic identification technology for non-contact identification through radio frequency signals, which can identify identified objects. The optimal deployment in its field has attracted attention from all aspects because it can save costs, adjust load balancing and improve coverage, and shows a good development prospect. How to solve the problem of antennas in RFID technology The optimal deployment problem has also become an exploratory problem. [0003]...

Claims

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Application Information

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IPC IPC(8): G06K7/10G06N3/00
CPCG06K7/10099G06N3/006Y02D30/70
Inventor 郑嘉利罗文聪覃团发
Owner GUANGXI UNIV