Powering indoor sensing with airflows

Feng, Li; Xiang, Tianyu; Chi, Zicheng; Luo, Jun; Tang, Lihua; Zhao, Liya; Yang, Yue

doi:10.1145/2517351.2517365

Cited by 42 publications

(4 citation statements)

References 27 publications

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“…Besides the already-existing mechanical vibrations, aeroelastic instabilities caused by air flows are increasingly employed to harness wind energy. Since wind is ubiquitous in both outdoor and indoor environments, it is a practical and effective energy source to power the sensing nodes (Wang and Inman 2013, Xiang et al 2013, Tan and Panda 2011.…”

Section: Introductionmentioning

confidence: 99%

Analytical solutions for galloping-based piezoelectric energy harvesters with various interfacing circuits

Zhao

Yang

2015

Smart Mater. Struct.

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Recently, the concept of harvesting available energy from the surrounding environment of electronic devices to implement self-powered stand-alone units has attracted a dramatic increase in interest. Many studies have been conducted on the analytical solutions of output responses for vibration-based piezoelectric energy harvesters (VPEHs), with both simple ac circuit and advanced circuits such as impedance adaptation, synchronized switching harvesting on inductor (SSHI) and synchronized charge extraction (SCE). However, very little effort has been devoted to deriving explicit output responses of aeroelastic piezoelectric energy harvesters, especially for cases involving sophisticated interface circuits. This paper proposes analytical solutions of the responses of a galloping-based piezoelectric energy harvester (GPEH). Three different interfacing circuits, including the simple ac, standard and SCE circuits, are considered in the analysis, with which the explicit expressions of power, voltage and displacement amplitude are derived. The optimal load and coupling are calculated for maximum power generation. The cutin wind speeds for these circuits are also formulated. Wind tunnel experiments based on a prototype of a GPEH with a square sectioned bluff body and circuit simulation based on the equivalent circuit model are carried out to validate the analysis. Recommendations on the applicability of different circuits are provided based on the observed behaviors of the circuits. The proposed theoretical solutions provide significant guidelines for accurate evaluation of effectiveness of GPEHs and the scheme of normalization makes it convenient to compare devices with various parameters.

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Section: Introductionmentioning

confidence: 99%

Analytical solutions for galloping-based piezoelectric energy harvesters with various interfacing circuits

Zhao

Yang

2015

Smart Mater. Struct.

Self Cite

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“…Battery-powered wireless communications [18,19] using energy-harvesting technologies have been widely discussed with the objective of achieving self-sustainability to maintain service life [20]. Due to the intermittency and inconsistency of renewable energy sources, the sensor nodes will dynamically adjust the duty cycle [21] for long-term operation. A recent work [22] showed that it is better for a sensor node to adapt the data packet sending period according to environmental conditions to follow an energy-neutral policy; even if the battery is known to have enough energy, the node should not ignorantly execute tasks.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Transmissions for Batteryless Periodic Sensing

Peng,

Wang

2024

IoT

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Batteryless, self-sustaining embedded sensing devices are key enablers for scalable and long-term operations of Internet of Things (IoT) applications. While advancements in both energy harvesting and intermittent computing have helped pave the way for building such batteryless IoT devices, a present challenge is a system design that can utilize intermittent energy to meet data requirements from IoT applications. In this paper, we take the requirement of periodic data sensing and describe the hardware and software of a batteryless IoT device with its model, design, implementation, and evaluation. A key finding is that, by estimating the non-linear hardware charging and discharging time, the device software can make scheduling decisions that both maintain the selected sensing period and improve transmission goodput. A hardware–software prototype was implemented using an MSP430 development board and LoRa radio communication technology. The proposed design was empirically compared with one that does not consider the non-linear hardware characteristics. The result of the experiments illustrated the nuances of the batteryless device design and implementation, and it demonstrated that the proposed design can cover a wider range of feasible sensing rates, which reduces the restriction on this parameter choice. It was further demonstrated that, under an intermittent supply of power, the proposed design could still keep the device functioning as required.

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“…Nevertheless, building a self-sustaining EH-WSN remains a challenging task, especially in indoor environments where the harvested energy can be several orders of magnitude less than the consumed energy. For example, a typical, optimized application can spend milliwatts in sensing and communication, while the typical harvesting range for an indoor harvester remains on the order of microwatts [2,3]. Therefore, work to reduce power consumption is still required to achieve energy autonomy.…”

Section: Introductionmentioning

confidence: 99%

A two-prong approach to energy-efficient WSNs: Wake-up receivers plus dedicated, model-based sensing

et al. 2016

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Energy neutral operation of WSNs can be achieved by exploiting the idleness of the workload to bring the average power consumption of each node below the harvesting power available. This paper proposes a combination of state-of-the-art low-power design techniques to minimize the local and global impact of the two main activities of each node: sampling and communication. Dynamic power management is adopted to exploit low-power modes during idle periods, while asynchronous wake-up and prediction-based data collection are used to opportunistically activate hardware components and network nodes only when they are strictly required. Furthermore, the concept of “model-based sensing” is introduced to push prediction-based data collection techniques as close as possible to the sensing elements. The results achieved on representative real-world WSN case studies show that the combined benefits of the design techniques adopted is more than linear, providing an overall power reduction of more than three orders of magnitude

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Powering indoor sensing with airflows

Cited by 42 publications

References 27 publications

Analytical solutions for galloping-based piezoelectric energy harvesters with various interfacing circuits

Analytical solutions for galloping-based piezoelectric energy harvesters with various interfacing circuits

Adaptive Transmissions for Batteryless Periodic Sensing

A two-prong approach to energy-efficient WSNs: Wake-up receivers plus dedicated, model-based sensing

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