Abstract
| Original language | Undefined |
|---|---|
| Pages | 218-231 |
| Number of pages | 14 |
| DOIs | |
| Publication status | Published - 1 Nov 2011 |
| Event | 9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011 - Seattle, United States Duration: 1 Nov 2011 → 4 Nov 2011 Conference number: 9 http://sensys.acm.org/2011/ |
Conference
| Conference | 9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011 |
|---|---|
| Abbreviated title | SenSys |
| Country | United States |
| City | Seattle |
| Period | 1/11/11 → 4/11/11 |
| Internet address |
Keywords
- IR-78537
- EWI-20804
- Sensor Network
- Logistics
- Routing
- Middleware
Cite this
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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 conference › Paper › Academic › peer-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 -