Dynamic and Heterogeneous Wireless Sensor Networks for Virtual Instrumentation Services: Application to Perishable Goods Surveillance

Seco, Teresa; Bermudez, J.C.M.; Paniagua, Jorge Muñoz; Castellanos, José A.

doi:10.1109/mass.2011.99

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…Hence, the incidence of temperature anomalies can significantly influence the quality of highly perishable products [21]. In conventional cold chain management systems, vehicles and warehouses are often equipped with thermometers and humidity sensors [23,24]. However, this approach cannot dynamically communicate the information with remote users and can only display and record environmental information locally [25].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Anomaly Detection in Cold Chain Transportation Using IoT Technology

et al. 2023

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There are approximately 88 million tonnes of food waste generated annually in the EU alone. Food spoilage during distribution accounts for some of this waste. To minimise this spoilage, it is of utmost importance to maintain the cold chain during the transportation of perishable foods such as meats, fruits, and vegetables. However, these products are often unfortunately wasted in large quantities when unpredictable failures occur in the refrigeration units of transport vehicles. This work proposes a real-time IoT anomaly detection system to detect equipment failures and provide decision support options to warehouse staff and delivery drivers, thus reducing potential food wastage. We developed a bespoke Internet of Things (IoT) solution for real-time product monitoring and alerting during cold chain transportation, which is based on the Digital Matter Eagle cellular data logger and two temperature probes. A visual dashboard was developed to allow logistics staff to perform monitoring, and business-defined temperature thresholds were used to develop a text and email decision support system, notifying relevant staff members if anomalies were detected. The IoT anomaly detection system was deployed with Musgrave Marketplace, Ireland’s largest grocery distributor, in three of their delivery vans operating in the greater Belfast area. Results show that the LTE-M cellular IoT system is power efficient and avoids sending false alerts due to the novel alerting system which was developed based on trip detection.

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Section: Introductionmentioning

confidence: 99%

Real-Time Anomaly Detection in Cold Chain Transportation Using IoT Technology

et al. 2023

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“…Composition of a WSN is made up of the environment that is to be monitored, sensor nodes that are spatially and randomly deployed and the sink node, which is the main interface between the nodes and the user, as shown in Figure1 Figure 1: Wireless sensor network architecture WSN can be deployed for many applications ranging from agricultural [8] [9], environmental [10], healthcare delivery [11], military [12], security [13], surveillance [14] [15], home automation [16] and so forth. Smart home concept is also based on WSNs while sensor nodes can be implanted in the human body.…”

Section: Introductionmentioning

confidence: 99%