Architecture for Improving Terrestrial Logistics Based on the Web of Things
Technological advances for improving supply chain efficiency present three key challenges for managing goods: tracking, tracing and monitoring (TTM), in order to satisfy the requirements for products such as perishable goods where the European Legislations requires them to ship within a prescribed t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2012-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/12/5/6538 |
| _version_ | 1828151816282439680 |
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| author | Antonio Skarmeta Antonio J. Jara Miguel Castro |
| author_facet | Antonio Skarmeta Antonio J. Jara Miguel Castro |
| author_sort | Antonio Skarmeta |
| collection | DOAJ |
| description | Technological advances for improving supply chain efficiency present three key challenges for managing goods: tracking, tracing and monitoring (TTM), in order to satisfy the requirements for products such as perishable goods where the European Legislations requires them to ship within a prescribed temperature range to ensure freshness and suitability for consumption. The proposed system integrates RFID for tracking and tracing through a distributed architecture developed for heavy goods vehicles, and the sensors embedded in the SunSPOT platform for monitoring the goods transported based on the concept of the Internet of Things. This paper presents how the Internet of Things is integrated for improving terrestrial logistics offering a comprehensive and flexible architecture, with high scalability, according to the specific needs for reaching an item-level continuous monitoring solution. The major contribution from this work is the optimization of the Embedded Web Services based on RESTful (Web of Things) for the access to TTM services at any time during the transportation of goods. Specifically, it has been extended the monitoring patterns such as observe and blockwise transfer for the requirements from the continuous conditional monitoring, and for the transfer of full inventories and partial ones based on conditional queries. In definitive, this work presents an evolution of the previous TTM solutions, which were limited to trailer identification and environment monitoring, to a solution which is able to provide an exhaustive item-level monitoring, required for several use cases. This exhaustive monitoring has required new communication capabilities through the Web of Things, which has been optimized with the use and improvement of a set of communications patterns. <strong> </strong> |
| first_indexed | 2024-04-11T22:02:53Z |
| format | Article |
| id | doaj.art-11e9f0cab03743cfbec47b3dd788711b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:02:53Z |
| publishDate | 2012-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-11e9f0cab03743cfbec47b3dd788711b2022-12-22T04:00:50ZengMDPI AGSensors1424-82202012-05-011256538657510.3390/s120506538Architecture for Improving Terrestrial Logistics Based on the Web of ThingsAntonio SkarmetaAntonio J. JaraMiguel CastroTechnological advances for improving supply chain efficiency present three key challenges for managing goods: tracking, tracing and monitoring (TTM), in order to satisfy the requirements for products such as perishable goods where the European Legislations requires them to ship within a prescribed temperature range to ensure freshness and suitability for consumption. The proposed system integrates RFID for tracking and tracing through a distributed architecture developed for heavy goods vehicles, and the sensors embedded in the SunSPOT platform for monitoring the goods transported based on the concept of the Internet of Things. This paper presents how the Internet of Things is integrated for improving terrestrial logistics offering a comprehensive and flexible architecture, with high scalability, according to the specific needs for reaching an item-level continuous monitoring solution. The major contribution from this work is the optimization of the Embedded Web Services based on RESTful (Web of Things) for the access to TTM services at any time during the transportation of goods. Specifically, it has been extended the monitoring patterns such as observe and blockwise transfer for the requirements from the continuous conditional monitoring, and for the transfer of full inventories and partial ones based on conditional queries. In definitive, this work presents an evolution of the previous TTM solutions, which were limited to trailer identification and environment monitoring, to a solution which is able to provide an exhaustive item-level monitoring, required for several use cases. This exhaustive monitoring has required new communication capabilities through the Web of Things, which has been optimized with the use and improvement of a set of communications patterns. <strong> </strong>http://www.mdpi.com/1424-8220/12/5/6538internet of thingsweb of thingsRFIDlogisticsintelligent transportation systemstrackingtraceabilitymonitoring |
| spellingShingle | Antonio Skarmeta Antonio J. Jara Miguel Castro Architecture for Improving Terrestrial Logistics Based on the Web of Things Sensors internet of things web of things RFID logistics intelligent transportation systems tracking traceability monitoring |
| title | Architecture for Improving Terrestrial Logistics Based on the Web of Things |
| title_full | Architecture for Improving Terrestrial Logistics Based on the Web of Things |
| title_fullStr | Architecture for Improving Terrestrial Logistics Based on the Web of Things |
| title_full_unstemmed | Architecture for Improving Terrestrial Logistics Based on the Web of Things |
| title_short | Architecture for Improving Terrestrial Logistics Based on the Web of Things |
| title_sort | architecture for improving terrestrial logistics based on the web of things |
| topic | internet of things web of things RFID logistics intelligent transportation systems tracking traceability monitoring |
| url | http://www.mdpi.com/1424-8220/12/5/6538 |
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