Deploy&amp;Forget wireless sensor networks for itinerant applications

Todolí-Ferrandis, David; Silvestre-Blanes, Javier; Climent, Salvador; Sempere-Payá, Víctor; Vera-Pérez, Jose

doi:10.1016/j.csi.2017.09.002

Cited by 17 publications

(4 citation statements)

References 8 publications

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“…Self-supplied IoT node would be a Holy Grail, paving a way for further development of IoT. Energy autonomy would enable maintenance-free, install-and-forGET 46 IoT devices with a huge importance for our planet by elimination of tons of used battery trash.…”

Section: Mips -Millions Of Instructions Per Secondmentioning

confidence: 99%

ZnO nanorods as a piezoelectric energy harvester from light induced flexions

Haras¹,

Wlazło²,

Andrysiewicz³

et al. 2023

Smart Materials for Opto-Electronic Applications

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Rapid growth is promoting the Internet of Things (IoT) to become one of the main branches of the semiconductor industry. Surprisingly, the IoT growth would have been even faster if economically attractive and reliable alternatives for batteries and wires had been available. Providing power supply to the IoT nodes is challenging regarding their: (i) quantity (close to 8x the human population), (ii) harsh operation environments, (iii) size (typical footprint much smaller than mm2) and (iv) hard-to-reach locations. Modern IoT node requires very small energy (less than 100μJ/cycle) to operate. Wire supply of energy is expensive and uncomfortable while using a battery requires periodic replacements/maintenance and produces tons of toxic waste. Energy Harvesting (EH) could be a solution to overcome the IoT supply difficulties offering self-supplied nodes enabling further IoT market growth. EH converts natural or waste energies (vibrations, heat losses, light, etc.) into useful energy. We present an innovative two-step conversion harvester capable of transforming light into electricity via the PieZoelectric (PZ) effect. Our approach uses a Photo- Mobile Polymer (PMP) integrated with the PZ material. PMP serves as light-to-movement transducer and PZ converts the light-induced PMP flexions into voltage. As a PZ material, a nanostructured ZnO nanorods were used as their fabrication is cheap and ready-to-use at industrial scale. ZnO performance characterization in a dedicated flexions simulator revealed energy as high as 80nJ during 55sec bending runs. This result encourages further PMP and ZnO optimization enabling extension of piezoelectrics onto light conversion.

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Section: Mips -Millions Of Instructions Per Secondmentioning

confidence: 99%

ZnO nanorods as a piezoelectric energy harvester from light induced flexions

Haras¹,

Wlazło²,

Andrysiewicz³

et al. 2023

Smart Materials for Opto-Electronic Applications

View full text Add to dashboard Cite

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“…Their deployment provides a monitoring service in an efficient manner. Originally driven by military applications [3] [4] such as battlefield surveillance, their development have witnessed in recent years the expansion to other critical applications like biomedical health monitoring [5], environmental monitoring [6], underground communication and monitoring systems [7], itinerant applications Deploy and forget [8], irrigation facilities management [9].…”

Section: Introductionmentioning

confidence: 99%

A probabilistic multivariate copula-based technique for faulty node diagnosis in wireless sensor networks

Ghalem

Kechar

Bounceur³

et al. 2019

Journal of Network and Computer Applications

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Wireless sensor networks (WSNs) find extensive applications in various sensitive domains such as tracking, monitoring, environmental data collection and border surveillance. In these cases, the collected data are considered as a critical resource and used to detect any anomalies or abnormal behavior, providing information about an occurring event or a node failure. An outlier detection process must be set up to ensure the proper functioning of the monitoring system.

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“…In comparison with the service-oriented architecture (SOA) [12], microservices are usually organised around business priorities and capabilities, and they have the capability of independent deployability [13] and often use simplified interfaces, such as representational state transfer (REST). Resilience to failure could be the next characteristic of microservices since every request will be separated and translated to various service calls in this Microservices [11] are small, highly decoupled processes which communicate with each other through language independent application programming interfaces (APIs) to form complex applications.…”

mentioning

confidence: 99%

A Semantic Model for Interchangeable Microservices in Cloud Continuum Computing

et al. 2021

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The rapid growth of new computing models that exploit the cloud continuum has a big impact on the adoption of microservices, especially in dynamic environments where the amount of workload varies over time or when Internet of Things (IoT) devices dynamically change their geographic location. In order to exploit the true potential of cloud continuum computing applications, it is essential to use a comprehensive set of various intricate technologies together. This complex blend of technologies currently raises data interoperability problems in such modern computing frameworks. Therefore, a semantic model is required to unambiguously specify notions of various concepts employed in cloud applications. The goal of the present paper is therefore twofold: (i) offering a new model, which allows an easier understanding of microservices within adaptive fog computing frameworks, and (ii) presenting the latest open standards and tools which are now widely used to implement each class defined in our proposed model.

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Deploy&Forget wireless sensor networks for itinerant applications

Cited by 17 publications

References 8 publications

ZnO nanorods as a piezoelectric energy harvester from light induced flexions

ZnO nanorods as a piezoelectric energy harvester from light induced flexions

A probabilistic multivariate copula-based technique for faulty node diagnosis in wireless sensor networks

A Semantic Model for Interchangeable Microservices in Cloud Continuum Computing

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