A Logistics Status Real-time Tracking System Based on Wireless Sensor Network

Authors

  • Zeyun Chen Sichuan Vocational and Technical College of Communications

DOI:

https://doi.org/10.3991/ijoe.v14i05.8641

Keywords:

wireless sensor network (WSN), active logistics status tracking (ALST), finite-state machine (FSM), tinyos.2

Abstract


The progress in the economic society has driven the rapid development of the logistics industry. In the face of increasingly enormous and complicated logistics systems, it is of great practical significance to study how to effectively control the logistics process, minimize the labour cost and provide real-time monitoring data for users. For this purpose, this paper designs an active logistics status tracking (ALST) system platform based on Wireless sensor network (WSN). This paper, by fully integrating the characteristics of WSN, designs the system architecture based on the design philosophy of active logistics status tracking method; it also constructs and realizes the hardware function modules such as wireless sensor node, vehicle gateway, user terminal and backend server etc., and adopts the finite-state machine (FSM)-based active tracking model to maintain the logistics object status; and then it carries out programming of wireless sensor node active state tracking in TinyOS2.x, and finally performs system test under normal operation. The active logistics status tracking system can be widely applied in the logistics industry, to optimize the logistics process, reduce losses and improve logistics operation efficiency.

Author Biography

Zeyun Chen, Sichuan Vocational and Technical College of Communications

Zeyun Chen graduated from Dalian Maritime University, and received the B.S. degree in management from Dalian Maritime University, Dalian, China, in 2003, and the M.S. degree in Logistics Engineering from Sichuan University, Chengdu, China, 2017. Since 2003, he has been on the faculty of Sichuan Vocational and Technical College of Communications. He is currently working toward the Ph.D. degree at Sichuan University. His research interests include Logistics engineering, logistics information technology.

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Published

2018-05-25

How to Cite

Chen, Z. (2018). A Logistics Status Real-time Tracking System Based on Wireless Sensor Network. International Journal of Online and Biomedical Engineering (iJOE), 14(05), pp. 58–69. https://doi.org/10.3991/ijoe.v14i05.8641

Issue

Vol. 14 No. 05 (2018)

Section

Papers

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