Seasonal agricultural products distribution and traceability system based on the rfid internet of things

Abstract

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.