Applying autonomous sensor systems in logistics—Combining sensor networks, RFIDs and software agents

Jedermann, Reiner; Behrens, Christian; Westphal, Detmar; Lang, Walter

doi:10.1016/j.sna.2006.02.008

Cited by 171 publications

(95 citation statements)

References 5 publications

(7 reference statements)

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“…The most effective way for the food company to prove that a third-party transport has done its job correctly is to monitor the shipment independently from the transport company. Jedermann, Behrens, Westphal, and Lang (2006) and Ruiz-Garcia et al (2007) and Ruiz-Garcia and Barreiro (2008) have studied monitoring transport systems by means of WSN and RFID. These systems automatically and continually collects data such temperature, humidity, location, status of cooling equipment, light, etc.…”

Section: Monitoring Logistics and Traceabilitymentioning

confidence: 99%

A model and prototype implementation for tracking and tracing agricultural batch products along the food chain

Ruiz-García

Steinberger

Rothmund³

2010

Food Control

121

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Keywords: Traceability Web service Monitoring logistics IT-farming Automated documentationThere is an increasing demand of traceability in the food chain, statutory requirements are growing stricter and there is increasing pressure to develop standardized traceability systems. Each event in the chain, like production of transportation, packing, distribution or processing results in a different product which can have its own information associated within the tracing system. From the raw material to the sale of goods, more and more information needs to be gathered and made available. Supplementary information may also be collected at any step, in order to provide data for analysis and optimization of production practices.Using web-based systems for data processing, storage and transfer makes possible a flexible way of information access, networking and usability. In this paper an architectural proposal is presented and the proposed solution is tested by the implementation of a prototype. The software architecture presented makes use of a series of standards than offer new possibilities in traceability control and management. For testing the prototype, information from precision farming together with the information recorded during the transport and delivery was used. The system enables full traceability and it complies with all existing traceability standards.

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Section: Monitoring Logistics and Traceabilitymentioning

confidence: 99%

A model and prototype implementation for tracking and tracing agricultural batch products along the food chain

Ruiz-García

Steinberger

Rothmund³

2010

Food Control

121

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“…Containers may incorporate a variety of sensors to detect, identify, log and communicate what happens during their journeys around the world. Jedermann et al (2006) presented a system for intelligent containers combining wireless sensor networks and RFID (Radio Frequency Identification). Ruiz-Garcia et al (2007) analyzed monitoring intermodal refrigerated fruit transport, facing the integration of wireless sensor networks with multiplexed communications and fleet management systems.…”

Section: Introductionmentioning

confidence: 99%

“…By auto configuration set up, the network could continue to operate as nodes are moved, introduced or removed. Monitoring applications have been developed in medicine, agriculture, environment, military, machine/ building, toys, motion tracking and many other fields (Akyildiz et al, 2002;Baronti et al, 2007;Jedermann et al, 2006). Architectures for sensor networks have been changing greatly over the last 50 years, from the analogue 4-20 mA designs to the bus and network topology of today.…”

Section: Introductionmentioning

confidence: 99%

Performance of ZigBee-Based wireless sensor nodes for real-time monitoring of fruit logistics

Ruiz-García

Elorza

Robla

2008

Journal of Food Engineering

133

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Progress in fruit logistics requires an increasing number of measurements to be performed in refrigerated chambers and during transport. Wireless sensor networks (WSN) are a promising solution in this field. This paper explores the potential of wireless sensor technology for monitoring fruit storage and transport conditions. It focuses in particular on ZigBee technology with special regard to two different commercial modules (Xbow and Xbee). The main contributions of the paper relate to the analysis of battery life under cooling conditions and the evaluation of the reliability of communications and measurements. Psychrometric equations were used for quick assessment of changes in the absolute water content of air, allowing estimation of future water loss, and detection of condensation on the product.

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“…Communication is normally the costliest factor; an example calculation for the TmoteSky wireless sensor node [13] shows that sending a message usually uses 16.5 mJ of energy, whereas reading temperature and humidity sensors requires 0.1 mJ and 200 ms of thinking costs 1 mJ [14]. The first aim in system design should be the reduction of communication by data pre-processing.…”

Section: Permanentmentioning

confidence: 99%

“…The processing instance only has to submit a warning message if the quality falls below an acceptance limit or if it foresees a pending quality loss [14]. Instead of the sensor raw data, which needs several updates per hour, only one message has to be sent in case a problem arises.…”

Section: The Advantages Of Local Sensor Data Evaluationmentioning

confidence: 99%

The Benefits of Embedded Intelligence – Tasks and Applications for Ubiquitous Computing in Logistics

Jedermann

Lang

The Internet of Things

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Abstract. The concept of autonomous cooperating processes is an approach to solve complex logistical planning tasks by representing each object in the transport chain by a separate independent software unit. In general, these software units or agents are applied in a server network. Technologies from the field of the Internet of Things like wireless communication and RFID enable that software execution can be shifted to deeper system layers, even at the level of single freight items. This article examines the ancillary conditions and consequences of this shift. It focuses on whether the introduction of the intelligent parcel or vehicle is advantageous compared to server based planning. The second half of this article describes transport logistic examples for networks of autonomous objects with embedded intelligence.

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Applying autonomous sensor systems in logistics—Combining sensor networks, RFIDs and software agents

Cited by 171 publications

References 5 publications

A model and prototype implementation for tracking and tracing agricultural batch products along the food chain

A model and prototype implementation for tracking and tracing agricultural batch products along the food chain

Performance of ZigBee-Based wireless sensor nodes for real-time monitoring of fruit logistics

The Benefits of Embedded Intelligence – Tasks and Applications for Ubiquitous Computing in Logistics

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