A Survy of Multi-Source Energy Harvesting Systems

Weddell, Alex S.; Magno, Michele; Merrett, Geoff V.; Brunelli, Davide; Al-Hashimi, Bashir M.; Benini, Luca

doi:10.7873/date.2013.190

Cited by 84 publications

(64 citation statements)

References 8 publications

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“…Recently, multi-source energy harvesters are gaining interest as a robust alternative to power wireless sensors [2], [3], [4]. As an example, authors in [2] provide a platform for vibration and solar energy harvesting.…”

Section: Introductionmentioning

confidence: 99%

Circuit area optimization in energy temporal sparse scenarios for multiple harvester powered systems

Cid-Fuentes

Cabellos‐Aparicio

Alarcón

2014

2014 IEEE International Symposium on Circuits and Systems (ISCAS)

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Multi-source energy harvesters are gaining interest as a robust alternative to power wireless sensors, since the sensor node can maintain its operation regardless of the fact that one of its energy sources might be temporarily unavailable. Interestingly, and less explored, when the energy availability of the energy sources present large temporal variations, combining multiple energy sources reduce the overall sparsity. As a result, the performance of a multiple energy harvester powered sensor node is significantly better compared to a single energy source which harvests the same amount of energy. In this context, a circuit area optimization framework for multiple source energy harvesting powered systems is proposed. This framework takes advantage of this improvement in performance to provide the optimal amount of energy harvesters, the requirements of each energy harvester and the required energy buffer capacity, such that the overall area or volume is minimized. As the results show, by conducting a joint design of the energy harvesters and the energy buffer, the overall area or volume of a sensor node can be significantly reduced. © 2014 IEEE.Peer ReviewedPostprint (published version

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Section: Introductionmentioning

confidence: 99%

Circuit area optimization in energy temporal sparse scenarios for multiple harvester powered systems

Cid-Fuentes

Cabellos‐Aparicio

Alarcón

2014

2014 IEEE International Symposium on Circuits and Systems (ISCAS)

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“…In this regard, wireless technology and energy harvesting systems provide a wide range of solutions to become the sensor practically maintenance-free. Wireless local area networks can be easily implemented and transparent to the user, while multi-source energy harvester strategies are being proposed recently [22], based on the combination of vibration [19], thermoelectric [20] or solar/light [21] effects. Thus, the industrial monitoring system becomes highly scalable and flexible.…”

Section: Introductionmentioning

confidence: 99%

Self-Powered Wireless Sensor Applied to Gear Diagnosis Based on Acoustic Emission

Delgado-Prieto

Millán

Wang³

et al. 2016

IEEE Trans. Instrum. Meas.

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“…An energy harvesting device converts this energy into electric energy which is stored in the energy storage device of the sensor node. In particular, photovoltaic (PV) harvesters appear as the most promising for enabling perpetual operation of WSNs [2], [3].…”

mentioning

confidence: 99%

Multimodal Video Analysis on Self-Powered Resource-Limited Wireless Smart Camera

Magno

Tombari

Brunelli

et al. 2013

IEEE J. Emerg. Sel. Topics Circuits Syst.

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Abstract-Surveillance is one of the most promising applications for wireless sensor networks, stimulated by a confluence of simultaneous advances in key disciplines: computer vision, image sensors, embedded computing, energy harvesting, and sensor networks. However, computer vision typically requires notable amounts of computing performance, a considerable memory footprint and high power consumption. Thus, wireless smart cameras pose a challenge to current hardware capabilities in terms of low-power consumption and high imaging performance. For this reason, wireless surveillance systems still require considerable amount of research in different areas such as mote architectures, video processing algorithms, power management, energy harvesting and distributed engine. In this paper, we introduce a multimodal wireless smart camera equipped with a pyroelectric infrared sensor and solar energy harvester. The aim of this work is to achieve the following goals: 1) combining local processing, low power hardware design, power management and energy harvesting to develop a low-power, low-cost, power-aware, and self-sustainable wireless video sensor node for video processing on board; 2) develop an energy efficient smart camera with high accuracy abandoned/removed object detection capability. The efficiency of our approach is demonstrated by experimental results in terms of power consumption and video processing accuracy as well as in terms of self-sustainability. Finally, simulation results show how perpetual work can be achieved in an outdoor scenario within a typical video surveillance application dealing with abandoned/removed object detection.Index Terms-Embedded smart camera, energy efficient, infrared sensor, multimodal video surveillance system, wireless sensor network.

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A Survy of Multi-Source Energy Harvesting Systems

Cited by 84 publications

References 8 publications

Circuit area optimization in energy temporal sparse scenarios for multiple harvester powered systems

Circuit area optimization in energy temporal sparse scenarios for multiple harvester powered systems

Self-Powered Wireless Sensor Applied to Gear Diagnosis Based on Acoustic Emission

Multimodal Video Analysis on Self-Powered Resource-Limited Wireless Smart Camera

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