Aircraft Strain WSN Powered by Heat Storage Harvesting

Allmen, Laurent Von; Bailleul, G.; Becker, Thomas; Decotignie, Jean-Dominique; Kiziroglou, Michail E.; Leroux, Camille; Mitcheson, Paul D.; Müller, Jürgen; Piguet, Damien; Toh, Tzern T.; Weisser, A.; Wright, S. W.; Yeatman, Eric M.

doi:10.1109/tie.2017.2652375

Cited by 46 publications

(23 citation statements)

References 31 publications

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“…6 that the simulation curves under the three selection strategies proposed almost coincide with the theoretical one. That indicates the correctness of Equation (9). For the sake of contrast, we give the outage probability of cooperative transmission with no energy collaboration for energy constrained networks (ECCT) in [4].…”

Section: Simulation Resultsmentioning

confidence: 95%

Energy Collaboration for Non-Homogeneous Energy Harvesting in Cooperative Wireless Sensor Networks

Liu

2020

IEEE Access

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In wireless sensor networks, energy harvesting is developed as an effective way to solve energy drain problem of nodes which powered by battery, just like that cooperative communication is used to improve transmission reliability. In some energy harvesting networks, the nodes' energy harvested from ambient environment is disequilibrium. For example, nodes exposed to sunlight collect more solar energy than those shaded. Impoverished energy will reduce transmission reliability because some nodes have not enough energy to send data or are forced to decrease transmission power to save energy. In this paper, energy collaboration is taken into consideration for non-homogeneous energy harvesting in cooperative wireless sensor networks, where all sensor nodes harvest solar energy and then store it in rechargeable battery. And an energy cooperative protocol is proposed for energy inhomogeneity to enhance transmission reliability among relay nodes through radio frequency, where the nodes with abundant energy share excess power to other nodes which undertake the forwarding task but store insufficient energy. By exploiting ACK/NACK frame fed back from the destination node and No Enough Energy (NEE) frame advertised by the forwarding relays in the active set, each candidate node forms its energy supply set when all of them are lack of energy for transmitting. For the relay selection, three strategies are presented for choosing the pair of the best forwarding relay and the optimal energy supply relay, which are respectively named Best Channel Strategy, Nearest Distance Strategy and Minimum Energy Sharing Strategy. Furthermore, the outage probability of cooperative transmission under energy collaboration is derived. Simulation results show that energy collaboration for cooperative wireless sensor networks can significantly reduce the outage probability of the system and improve transmission reliability of the network.

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Section: Simulation Resultsmentioning

confidence: 95%

Energy Collaboration for Non-Homogeneous Energy Harvesting in Cooperative Wireless Sensor Networks

Liu

2020

IEEE Access

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“…The open-circuit output voltage is over 0.2 V during most of the power transducing time. This voltage level is adequate for cold-starting and efficient power management by commercially available systems [14]. The cumulative energy output for the stainless steel and plastic container implementations are 43.6 J and 32.1 J respectively.…”

Section: Device Characterizationmentioning

confidence: 98%

“…Various prototypes have been reported and characterized typically in the temperature range between ±20 o C, at a rate of 4 K/min, because of the high potential of dynamic harvesting devices for aircraft applications. Energy output recently reached 1 J/cm 3 per total device volume and per TOUT cycle, allowing the implementation of energy autonomous strain monitoring wireless sensor nodes for aircraft [14].…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Printed Insulation For Dynamic Thermoelectric Harvesters With Encapsulated Phase Change Materials

et al. 2017

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Energy harvesting devices have demonstrated their ability to provide power autonomy to wireless sensor networks. However, the adoption of such powering solutions by the industry is challenging due to their reliance on very specific environmental conditions such as vibration at a specific frequency, direct sunlight, or a local temperature difference. Dynamic thermoelectric harvesting has been shown to expand the applicability of thermoelectric generators by creating a local spatial temperature gradient from a temporal temperature fluctuation. Here, a simple method for prototyping or short-run production of such devices is introduced. It is based on the design and 3-D printing of an insulating container, insertion of a phase change material in encapsulated form, and use of commercial thermoelectric generators. The simplicity of this dry assembly method is demonstrated. Two prototype devices with double-wall insulation structures are fabricated, using a stainless-steel and a plastic phase change material encapsulation and a commercial TEG. Performance tests under a temperature cycle between ±25 °C show energy output of 43.6 and 32.1 J from total device masses of 69 and 50 g, respectively. Tests under multiple temperature cycles demonstrate the reliability and performance repeatability of such devices. The proposed method addresses the complication of requiring a wet stage during the final assembly of dynamic thermoelectric harvesters. It allows design and customization to particular size, energy, and insulation geometry requirements. This is important because it makes dynamic harvesting prototyping widely available and easy to reproduce, test, and integrate into systems with various energy requirements and size restrictions

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“…Instead of using the ground as a large thermal capacity, it is also possible to use phase changing materials. In [29], [30] the fast changing ambient in an aircraft was used to generate an average power of 22 mW during an 80 min flight. Verma et al harvested at the ambient to water storage boundary [31].…”

Section: Introductionmentioning

confidence: 99%

Thermoelectric Energy Harvesting From Gradients in the Earth Surface

Sigrist

Stricker

Bernath

et al. 2020

IEEE Trans. Ind. Electron.

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We introduce an energy harvesting system capable of converting bipolar thermal gradients to electrical energy. An active rectification circuit, electrical impedance matching and commodity thermoelectric generators (TEGs) are used to efficiently extract energy from very small temperature gradients found at the natural ground-to-air boundary. The full harvesting system is modeled in detail from thermal radiation to the electrical load. This end-toend model enables system dimensioning to meet specific application requirements. A multi-year deployment of the harvesting system supplying a wireless sensor network (WSN) for environment monitoring demonstrates the applicability of this system in a real application. The case study confirms self-sustainable operation of an application with a 550 µW power footprint. With a maximum harvested power of up to 27.2 mW during the day and 6.3 mW during the night, a significant improvement in both average and maximum harvested power is demonstrated compared to the state-of-the-art.

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Aircraft Strain WSN Powered by Heat Storage Harvesting

Cited by 46 publications

References 31 publications

Energy Collaboration for Non-Homogeneous Energy Harvesting in Cooperative Wireless Sensor Networks

Energy Collaboration for Non-Homogeneous Energy Harvesting in Cooperative Wireless Sensor Networks

Three-Dimensional Printed Insulation For Dynamic Thermoelectric Harvesters With Encapsulated Phase Change Materials

Thermoelectric Energy Harvesting From Gradients in the Earth Surface

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