Earticle

초록

영어

Based on the big data and complexity in the identification process of IOT radio frequency, this article puts forward an optimal algorithm for Adaptive Gaussian Traversal Harmony Search IOT radio frequency identification, which aim at solving the problems of high computational complexity and low identification accuracy of traditional algorithm. At first, the network optimization design is carried out based on Harmony Search (HS) algorithm, and in order to solve the problems of standard HS in optimization accuracy, computational complexity and other aspects, control parameters are introduced into the algorithm improvisation process on the basis of traverse characteristics of Gaussian function, so that the pertinence of preliminary and later searches are improved, and meanwhile, theoretical analysis on parameters selection is described; Secondly, the optimization model of IOT radio frequency identification is studied and improved adaptive optimization objectives are put forward to achieve equilibrium optimization of performance indicators; at last, test results are compared to prove the suggested algorithm having high computational accuracy and faster computational speed.

목차

Abstract
 1. Introduction
 2. Gaussian Traverse Harmony Search
  2.1. Harmony Search
  2.2. Description of Refinement Algorithm
  2.3. Theoretical Analysis
 3. RFID Optimization of GTHS Logistics
  3.1. Description of RFID Model
  3.2. Definition of Impact Factor
  3.3. Adaptive Target Function
 4. Experimental Analysis
  4.1. Algorithm Parameters Impact
  4.2. Example of IOT RFID Optimization
 5. Conclusion
 References

키워드

저자

• Zhang Hongbo [ Department of Computer Science, Tangshan Normal College,Tangshan City, Hebei Province, China ]
• Gao Wei [ Department of Computer Science, Tangshan Normal College,Tangshan City, Hebei Province, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605