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Development of cold chain logistics transportation system based on 5G network and Internet of things system
Affiliation:1. SCYTALE Group, Computer Engineering and Informatics Department, University of Patras, Hellas Greece;2. Department of Computer Science, The University of Sheffield, UK;1. Wonkwang University, Iksan-si, Jeonbuk, 545546, Republic of Korea;2. College of life science, Hengshui University, Hengshui, Hebei, 053000, China;1. School of International Business, Sichuan International Studies University, Chongqing, 400031, China;2. The Research for International Business and Economy, Sichuan International Studies University, Chongqing, 400031, China
Abstract:By implementing the Internet of things, the cold chain items are tracked in real time, and the data is tracked and realized through the GPS system. WSM is realized by integrating wireless controller FPGA of Xilinx software. For items that pass through the button position, the scaling effect under integer optimization and the overall economic benefits of transportation still maximize trunk transportation evidence. Cold chain logistics in the network design of transportation decision-makers provide a specific reference. It is believed to be based on the proposed Predictive Data Transfer Technology (PDTT) framework and an optimized IoT data model. An Internet of Things analysis framework for assessing overall performance. Simulation results confirm the performance of this method. Also, freezing temperature monitoring and regular remote tracking of freight container locations are needed to prevent food from being transported under cold chain logistics. Therefore, the access point (coordination) of GPS and 5G communication systems and wireless sensor network integration is extensive, developed in our project. The proposed WSM is implemented by integrating mainly a wireless microcontroller FPGA based on Xilinx software.
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