Industry: Using dynamic WSNs in smart logistics for fruits and pharmacy

Jeong Gil Ko (Editor), D. Bijwaard, Joakim Eriksson (Editor), W.A.P. van Kleunen, Paul J.M. Havinga, Nicolas Tsiftes (Editor), Stephen Dawson-Haggerty (Editor), L. Kleiboer, Leon Kleiboer, M.J.J. Bijl, Mark J.J. Bijl, Jean-Philippe Vasseur (Editor), Mathilde Durvy (Editor)

Research output: Contribution to conferencePaperAcademicpeer-review

32 Citations (Scopus)
1 Downloads (Pure)

Abstract

In this paper we describe a smart way to apply dynamic wireless sensor networks (WSN) in logistics. Especially in the temperature controlled supply chain (cold chain), perishable goods like fruits and pharmaceuticals greatly benefit from real-time quality monitoring during storage and transport in order to avoid quality degradation and spoilage. In our system, wireless sensor nodes called SmartPoints monitor the environmental conditions and generate alarms when specific events are detected. Additionally, they calculate the remaining shelf life of the perishable goods they travel with. When there is an Internet-connected WSN available during travel, the shelf-life prediction and associated alarms are directly sent to a back-end server. Alternatively they are logged on the SmartPoints and flushed upon arrival, such that the remaining shelf-life and alarms are immediately clear and a full history will be available later. Our dynamic WSN supports a number of protocols that enable support for the dynamic processes in logistic processes. The Ambient middleware supports real-time monitoring and remote maintenance across the Internet via wired and mobile wireless network access technologies. Additionally, the middleware offers easy integration with third-party applications. Ambient Studio utilizes the middleware for remote WSN configuration and monitoring.
Original languageUndefined
Pages218-231
Number of pages14
DOIs
Publication statusPublished - 1 Nov 2011
Event9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011 - Seattle, United States
Duration: 1 Nov 20114 Nov 2011
Conference number: 9
http://sensys.acm.org/2011/

Conference

Conference9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011
Abbreviated titleSenSys
CountryUnited States
CitySeattle
Period1/11/114/11/11
Internet address

Keywords

  • IR-78537
  • EWI-20804
  • Sensor Network
  • Logistics
  • Routing
  • Middleware

Cite this

Ko, J. G. (Ed.), Bijwaard, D., Eriksson, J. (Ed.), van Kleunen, W. A. P., Havinga, P. J. M., Tsiftes, N. (Ed.), ... Durvy, M. (Ed.) (2011). Industry: Using dynamic WSNs in smart logistics for fruits and pharmacy. 218-231. Paper presented at 9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011, Seattle, United States. https://doi.org/10.1145/2070942.2070965
Ko, Jeong Gil (Editor) ; Bijwaard, D. ; Eriksson, Joakim (Editor) ; van Kleunen, W.A.P. ; Havinga, Paul J.M. ; Tsiftes, Nicolas (Editor) ; Dawson-Haggerty, Stephen (Editor) ; Kleiboer, L. ; Kleiboer, Leon ; Bijl, M.J.J. ; Bijl, Mark J.J. ; Vasseur, Jean-Philippe (Editor) ; Durvy, Mathilde (Editor). / Industry: Using dynamic WSNs in smart logistics for fruits and pharmacy. Paper presented at 9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011, Seattle, United States.14 p.
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title = "Industry: Using dynamic WSNs in smart logistics for fruits and pharmacy",
abstract = "In this paper we describe a smart way to apply dynamic wireless sensor networks (WSN) in logistics. Especially in the temperature controlled supply chain (cold chain), perishable goods like fruits and pharmaceuticals greatly benefit from real-time quality monitoring during storage and transport in order to avoid quality degradation and spoilage. In our system, wireless sensor nodes called SmartPoints monitor the environmental conditions and generate alarms when specific events are detected. Additionally, they calculate the remaining shelf life of the perishable goods they travel with. When there is an Internet-connected WSN available during travel, the shelf-life prediction and associated alarms are directly sent to a back-end server. Alternatively they are logged on the SmartPoints and flushed upon arrival, such that the remaining shelf-life and alarms are immediately clear and a full history will be available later. Our dynamic WSN supports a number of protocols that enable support for the dynamic processes in logistic processes. The Ambient middleware supports real-time monitoring and remote maintenance across the Internet via wired and mobile wireless network access technologies. Additionally, the middleware offers easy integration with third-party applications. Ambient Studio utilizes the middleware for remote WSN configuration and monitoring.",
keywords = "IR-78537, EWI-20804, Sensor Network, Logistics, Routing, Middleware",
author = "Ko, {Jeong Gil} and D. Bijwaard and Joakim Eriksson and {van Kleunen}, W.A.P. and Havinga, {Paul J.M.} and Nicolas Tsiftes and Stephen Dawson-Haggerty and L. Kleiboer and Leon Kleiboer and M.J.J. Bijl and Bijl, {Mark J.J.} and Jean-Philippe Vasseur and Mathilde Durvy",
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doi = "10.1145/2070942.2070965",
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Ko, JG (ed.), Bijwaard, D, Eriksson, J (ed.), van Kleunen, WAP, Havinga, PJM, Tsiftes, N (ed.), Dawson-Haggerty, S (ed.), Kleiboer, L, Kleiboer, L, Bijl, MJJ, Bijl, MJJ, Vasseur, J-P (ed.) & Durvy, M (ed.) 2011, 'Industry: Using dynamic WSNs in smart logistics for fruits and pharmacy' Paper presented at 9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011, Seattle, United States, 1/11/11 - 4/11/11, pp. 218-231. https://doi.org/10.1145/2070942.2070965

Industry: Using dynamic WSNs in smart logistics for fruits and pharmacy. / Ko, Jeong Gil (Editor); Bijwaard, D.; Eriksson, Joakim (Editor); van Kleunen, W.A.P.; Havinga, Paul J.M.; Tsiftes, Nicolas (Editor); Dawson-Haggerty, Stephen (Editor); Kleiboer, L.; Kleiboer, Leon; Bijl, M.J.J.; Bijl, Mark J.J.; Vasseur, Jean-Philippe (Editor); Durvy, Mathilde (Editor).

2011. 218-231 Paper presented at 9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011, Seattle, United States.

Research output: Contribution to conferencePaperAcademicpeer-review

TY - CONF

T1 - Industry: Using dynamic WSNs in smart logistics for fruits and pharmacy

AU - Bijwaard, D.

AU - van Kleunen, W.A.P.

AU - Havinga, Paul J.M.

AU - Kleiboer, L.

AU - Kleiboer, Leon

AU - Bijl, M.J.J.

AU - Bijl, Mark J.J.

A2 - Ko, Jeong Gil

A2 - Eriksson, Joakim

A2 - Tsiftes, Nicolas

A2 - Dawson-Haggerty, Stephen

A2 - Vasseur, Jean-Philippe

A2 - Durvy, Mathilde

PY - 2011/11/1

Y1 - 2011/11/1

N2 - In this paper we describe a smart way to apply dynamic wireless sensor networks (WSN) in logistics. Especially in the temperature controlled supply chain (cold chain), perishable goods like fruits and pharmaceuticals greatly benefit from real-time quality monitoring during storage and transport in order to avoid quality degradation and spoilage. In our system, wireless sensor nodes called SmartPoints monitor the environmental conditions and generate alarms when specific events are detected. Additionally, they calculate the remaining shelf life of the perishable goods they travel with. When there is an Internet-connected WSN available during travel, the shelf-life prediction and associated alarms are directly sent to a back-end server. Alternatively they are logged on the SmartPoints and flushed upon arrival, such that the remaining shelf-life and alarms are immediately clear and a full history will be available later. Our dynamic WSN supports a number of protocols that enable support for the dynamic processes in logistic processes. The Ambient middleware supports real-time monitoring and remote maintenance across the Internet via wired and mobile wireless network access technologies. Additionally, the middleware offers easy integration with third-party applications. Ambient Studio utilizes the middleware for remote WSN configuration and monitoring.

AB - In this paper we describe a smart way to apply dynamic wireless sensor networks (WSN) in logistics. Especially in the temperature controlled supply chain (cold chain), perishable goods like fruits and pharmaceuticals greatly benefit from real-time quality monitoring during storage and transport in order to avoid quality degradation and spoilage. In our system, wireless sensor nodes called SmartPoints monitor the environmental conditions and generate alarms when specific events are detected. Additionally, they calculate the remaining shelf life of the perishable goods they travel with. When there is an Internet-connected WSN available during travel, the shelf-life prediction and associated alarms are directly sent to a back-end server. Alternatively they are logged on the SmartPoints and flushed upon arrival, such that the remaining shelf-life and alarms are immediately clear and a full history will be available later. Our dynamic WSN supports a number of protocols that enable support for the dynamic processes in logistic processes. The Ambient middleware supports real-time monitoring and remote maintenance across the Internet via wired and mobile wireless network access technologies. Additionally, the middleware offers easy integration with third-party applications. Ambient Studio utilizes the middleware for remote WSN configuration and monitoring.

KW - IR-78537

KW - EWI-20804

KW - Sensor Network

KW - Logistics

KW - Routing

KW - Middleware

U2 - 10.1145/2070942.2070965

DO - 10.1145/2070942.2070965

M3 - Paper

SP - 218

EP - 231

ER -

Ko JG, (ed.), Bijwaard D, Eriksson J, (ed.), van Kleunen WAP, Havinga PJM, Tsiftes N, (ed.) et al. Industry: Using dynamic WSNs in smart logistics for fruits and pharmacy. 2011. Paper presented at 9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011, Seattle, United States. https://doi.org/10.1145/2070942.2070965