Abstract

Wireless sensor network is an emerging technology with broad application prospects and will play an increasingly important role in many aspects of people’s production practices. This article is aimed at conducting research on supply chain information traceability and management methods from the perspective of wireless sensor networks. This paper uses simulation methods and comparative experiment methods. From the perspective of Spanner algorithm research, the wireless sensor network technology is researched, the explanation and simplification of Spanner algorithm in supply chain information traceability are designed, and the parameters are optimized while the algorithm is optimized. Performance analysis introduced the research on supply chain disturbance management and conducted the reliability analysis of the supply chain trust scale. The experimental results show that among the three dimensions of supply chain information sharing, the reliability coefficients of the two dimensions of information sharing content and information sharing quality are 0.803 and 0.825, respectively, which are both greater than 0.8, indicating that the reliability is very good. Cronbach’s coefficient in the information sharing level dimension is equal to 0.665, which is in an acceptable range, the CITC value of this dimension is all higher than 0.4, and the value of the deleted item is lower than 0.665, so all the items of the information sharing level will also be retained. The research of supply chain information traceability and management methods based on wireless sensor network is well completed.

Highlights

  • Wireless sensor networks (WSNs) rely on many randomly distributed smart micronodes

  • The sensors in the WSN communicate wirelessly, so the network settings are flexible, the location of the device can be changed at any time, and it can be connected to the Internet in a wired or wireless manner [1], a multihop self-organizing network formed by wireless communication

  • In terms of technology development, the key to research around WSNs is the continuous deepening of time synchronization, topology control, positioning technology, MAC protocol, data compression, and network security

Read more

Summary

Introduction

Wireless sensor networks (WSNs) rely on many randomly distributed smart micronodes. These nodes have the characteristics of low power consumption and high flexibility. The sensors in the WSN communicate wirelessly, so the network settings are flexible, the location of the device can be changed at any time, and it can be connected to the Internet in a wired or wireless manner [1], a multihop self-organizing network formed by wireless communication. Wireless sensor networks create new breakthroughs in social distancing and animal tracking research. The use of EFR32 Flex Gecko SoC-based Wireless Sensor Network equipment for social distancing and animal tracking research is the first to apply IoT technology in this field. There are many technologies involved in wireless sensor network research Among these technologies, there are network topology control, routing algorithms, flow control, link scheduling, and other technologies. The most accurate standard for judging the existence of interference and the degree of inter-

Objectives
Methods
Findings
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call