research-article

Wireless sensor network for real-time perishable food supply chain management

Authors:

Lirong ZhengAuthors Info & Claims

Computers and Electronics in Agriculture, Volume 110, Issue C

Pages 196 - 207

https://doi.org/10.1016/j.compag.2014.11.009

Published: 01 January 2015 Publication History

Abstract

The WSN nodes can monitor both environmental parameters and the states of motion.The WSN system is configurable according the requirements of applications.The non-joined EndDevice improved by network switching scheme is more energy-efficient.The functions and WSN nodes have been tested and validated with an external apparatus.The success rate of data communication is over 99%. Environment monitoring is essential to the perishable food supply chain management, since it provides important information to estimate the food quality and to predict its shelf life. In this work, a real-time perishable food supply chain monitoring system is developed based on ZigBee-standard wireless sensor network (WSN). Some important improvements including a configurable architecture for comprehensive sensors and an improved network switching scheme are designed to meet the application requirements. A tree-topology WSN system with 192 EndDevices and a star-topology WSN system with 80 EndDevices are implemented and evaluated in terms of both functions and performance. Test results show that the success rate of data communication is over 99%. Both theoretical analysis and realistic measurement results show that the EndDevices have a lifetime long enough for the application of supply chain monitoring.

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Cited By

Callefi MGanga GGodinho Filho MQueiroz MReis Vdos Reis J(2022)Technology-enabled capabilities in road freight transportation systemsExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.117497203:COnline publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1016/j.eswa.2022.117497
Yadav VSingh ARaut RMangla SLuthra SKumar A(2022)Exploring the application of Industry 4.0 technologies in the agricultural food supply chainComputers and Industrial Engineering10.1016/j.cie.2022.108304169:COnline publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1016/j.cie.2022.108304
Tao WZhao LWang GLiang R(2021)Review of the internet of things communication technologies in smart agriculture and challengesComputers and Electronics in Agriculture10.1016/j.compag.2021.106352189:COnline publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1016/j.compag.2021.106352
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Wireless sensor network for real-time perishable food supply chain management
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Published In

cover image Computers and Electronics in Agriculture

Computers and Electronics in Agriculture Volume 110, Issue C

January 2015

295 pages

ISSN:0168-1699

Issue’s Table of Contents

Copyright © Elsevier B.V.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 January 2015

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Cited By

Callefi MGanga GGodinho Filho MQueiroz MReis Vdos Reis J(2022)Technology-enabled capabilities in road freight transportation systemsExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.117497203:COnline publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1016/j.eswa.2022.117497
Yadav VSingh ARaut RMangla SLuthra SKumar A(2022)Exploring the application of Industry 4.0 technologies in the agricultural food supply chainComputers and Industrial Engineering10.1016/j.cie.2022.108304169:COnline publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1016/j.cie.2022.108304
Tao WZhao LWang GLiang R(2021)Review of the internet of things communication technologies in smart agriculture and challengesComputers and Electronics in Agriculture10.1016/j.compag.2021.106352189:COnline publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1016/j.compag.2021.106352
Pal AKant K(2020)Smart Sensing, Communication, and Control in Perishable Food Supply ChainACM Transactions on Sensor Networks10.1145/336072616:1(1-41)Online publication date: 17-Jan-2020
https://dl.acm.org/doi/10.1145/3360726
Konovalenko ILudwig A(2019)Event processing in supply chain management – The status quo and research outlookComputers in Industry10.1016/j.compind.2018.12.009105:C(229-249)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1016/j.compind.2018.12.009
Villalobos JSoto-Silva WGonzález-Araya MGonzález–Ramirez R(2019)Research directions in technology development to support real-time decisions of fresh produce logisticsComputers and Electronics in Agriculture10.1016/j.compag.2019.105092167:COnline publication date: 1-Dec-2019
https://dl.acm.org/doi/10.1016/j.compag.2019.105092
Liu LWang HXing S(2019)Optimization of distribution planning for agricultural products in logistics based on degree of maturityComputers and Electronics in Agriculture10.1016/j.compag.2019.02.030160:C(1-7)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1016/j.compag.2019.02.030
Adu-Manu KAdam NTapparello CAyatollahi HHeinzelman W(2018)Energy-Harvesting Wireless Sensor Networks (EH-WSNs)ACM Transactions on Sensor Networks10.1145/318333814:2(1-50)Online publication date: 27-Apr-2018
https://dl.acm.org/doi/10.1145/3183338
Wang XHe QMatetic MJemric TZhang X(2017)Development and evaluation on a wireless multi-gas-sensors system for improving traceability and transparency of table grape cold chainComputers and Electronics in Agriculture10.1016/j.compag.2016.12.019135:C(195-207)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1016/j.compag.2016.12.019
Shih CWang C(2016)Integrating wireless sensor networks with statistical quality control to develop a cold chain system in food industriesComputer Standards & Interfaces10.1016/j.csi.2015.12.00445:C(62-78)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1016/j.csi.2015.12.004

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