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- W4295942223 abstract "Wireless sensor networks are widely used to collect and monitor data in the physical world and play a vital role. This article mainly studies the intelligent logistics tracking system based on wireless sensor network. In this paper, the compressed sensing theory is used to reconstruct the environment monitoring data in the cabin to verify the validity of the theory. The five types of sensors are placed in the specified position in the carriage for multi-point sampling, and each node performs data collection every 45 seconds. This paper uses the entropy weight fuzzy comprehensive evaluation method to evaluate the platform planning scheme. The wireless network adopts a multi-zone network networking method, which divides the entire coverage area into multiple sub-areas. Each wireless access point is responsible for controlling a sub-area. At the same time, each wireless access point will also become a mobile terminal and the backbone network. In the actual image transmission, there are two data transmission modes of Zigbee module involved, transparent transmission and point-to-point mode. In the transparent transmission mode, only the communication between the gateway device and the edge device can be carried out, and the communication between the edge devices cannot be carried out. In order to test that the wireless sensor node can actively track the logistics status of the logistics object, this paper uses a temperature sensor to test to test whether the wireless sensor node can actively track the logistics object at different temperatures. In order to achieve the goal of performance testing, a test program was written to simulate a large number of users logging into the system at the same time to perform operations to test the performance of the system. Starting from 15m, the communication radius increases by 5m each time to 50m, and the average positioning error is gradually decreasing. The results show that the introduction of Internet technology and mobile communication network positioning technology into the logistics tracking system can greatly improve the utilization of existing resources." @default.
- W4295942223 created "2022-09-16" @default.
- W4295942223 date "2021-01-01" @default.
- W4295942223 modified "2023-09-27" @default.
- W4295942223 title "Intelligent Logistics Tracking System Based on Wireless Sensor Network" @default.
- W4295942223 doi "https://doi.org/10.25236/ijfet.2021.031006" @default.
- W4295942223 hasPublicationYear "2021" @default.
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