Design of a Kinetic Energy Harvester for Elephant Mounted Wireless Sensor Nodes of JumboNet

Wijesundara, Malitha; Tapparello, Cristiano; Gamage, Amalinda; Yadhavan, Gokulan; Logan, Gittelson; Howard, Thomas J.; Heinzelman, Wendi

doi:10.1109/glocom.2016.7841730

Cited by 18 publications

(10 citation statements)

References 6 publications

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“…A high vibrational acceleration, wide range frequency band, and an adaptive resonant frequency tracker are the main requirements to design a high performance vibration energy-harvesting system. Wijesundara et al (2016) proposed a WSN-based system to monitor the location of Asian elephants that harvests the kinetic energy generated by the elephants' movements to power the sensors. The proposed harvester is composed of one moving magnet, two stationary magnets, a polycarbonate tube, and two coils.…”

Section: Mechanical Energymentioning

confidence: 99%

“…Energy-harvesting technologies have been used in tracking animals with projects such as ZebraNet for tracking Zebras (Zhang et al 2004), TurtleNet for studying the Gopher tortoise (Sorber et al 2013(Sorber et al , 2013, tracking Cervus elaphus (a type of deer) in their environment to keep them from becoming an endangered species (Zhang et al 2014), tracking sheeps (Woias et al 2014), and elephants tracking in Wijesundara et al (2016). Energy-harvesting-based sensor nodes are fitted to these animals to gather sensor data and transfer this sensed data to a mobile base station or to other nodes within a specified range (Gilbert and Balouchi 2008).…”

Section: Animal Trackingmentioning

confidence: 99%

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Energy-Harvesting Wireless Sensor Networks (EH-WSNs)

Adu-Manu

Adam

Tapparello

et al. 2018

ACM Trans. Sen. Netw.

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288

162

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Wireless Sensor Networks (WSNs) are crucial in supporting continuous environmental monitoring, where sensor nodes are deployed and must remain operational to collect and transfer data from the environment to a base-station. However, sensor nodes have limited energy in their primary power storage unit, and this energy may be quickly drained if the sensor node remains operational over long periods of time. Therefore, the idea of harvesting ambient energy from the immediate surroundings of the deployed sensors, to recharge the batteries and to directly power the sensor nodes, has recently been proposed. The deployment of energy harvesting in environmental field systems eliminates the dependency of sensor nodes on battery power, drastically reducing the maintenance costs required to replace batteries. In this article, we review the state-of-the-art in energy-harvesting WSNs for environmental monitoring applications, including Animal Tracking, Air Quality Monitoring, Water Quality Monitoring, and Disaster Monitoring to improve the ecosystem and human life. In addition to presenting the technologies for harvesting energy from ambient sources and the protocols that can take advantage of the harvested energy, we present challenges that must be addressed to further advance energy-harvesting-based WSNs, along with some future work directions to address these challenges.

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Section: Mechanical Energymentioning

confidence: 99%

Section: Animal Trackingmentioning

confidence: 99%

Energy-Harvesting Wireless Sensor Networks (EH-WSNs)

Adu-Manu

Adam

Tapparello

et al. 2018

ACM Trans. Sen. Netw.

Self Cite

288

162

View full text Add to dashboard Cite

show abstract

“…Energy harvesting (EH) methods are utilized to extend the life-time of the batteries [9][10][11][12]. These methods utilize various energy sources for instance solar [13], wind [14], thermal [15], mechanical [16], and radio frequency [17]. Solar energy is characterized by the high power density compared to other energy sources [18].…”

Section: Introductionmentioning

confidence: 99%

A Wireless Sensor System Supplied by a Solar Energy Harvester toward IoT Environmental Monitoring

Mohsen

Alharbi

2021

Preprint

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Harmful environments can cause seriously health problems to humans. Thus, it is should be develop a generation of wireless sensor systems that are energy self-powered to monitor physical parameters of an ambient environment in real-time and sending these parameters remotely to an IoT cloud service. In this paper, a wireless sensor system is proposed for an environmental monitoring. This system is based on two sensors and a NodeMCU board that includes a microcontroller with a Wi-Fi chip. This system is built to measure the ambient temperature, relative humidity, atmospheric pressure, and ultraviolet (UV) index. The power supply of the sensor system is a solar energy harvester, which consists of a solar cell, a DC-DC converter, and a rechargeable battery. This harvester is practically tested outdoors under direct sunlight. The wireless sensor system experimentally consumes an average power of 40 mW over one hour and the life-time of this system is 123 hours in active-sleep mode. The results demonstrate that the wireless sensor system has long-term and sustainable operation of the monitoring of an environmental data.

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“…They are advantageous in that they provide energy for longer periods of time than a battery in places with sufficient vibration and are more sustainable [ 1 , 2 ]. Examples of WSNs powered by kinetic energy harvesters are wearable devices [ 3 , 4 , 5 ], wild animal tracking devices [ 6 ], condition monitoring devices [ 7 ], networks for the early detection of natural disasters [ 8 , 9 ], and local monitoring devices [ 10 ]. A sensor node should run self-sufficiently after the first installation, so there is no need for user intervention for reasons of cost, comfort and accessibility.…”

Section: Introductionmentioning

confidence: 99%

A Self-Adaptive and Self-Sufficient Energy Harvesting System

Mösch

Fischerauer

Hoffmann

2020

Sensors

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Self-adaptive vibration energy harvesters convert the kinetic energy from vibration sources into electrical energy and continuously adapt their resonance frequency to the vibration frequency. Only when the two frequencies match can the system harvest energy efficiently. The harvesting of vibration sources with a time-variant frequency therefore requires self-adaptive vibration harvesting systems without human intervention. This work presents a self-adaptive energy harvesting system that works completely self-sufficiently. Using magnetic forces, the axial load on a bending beam is changed and thus the resonance frequency is set. The system achieves a relative tuning range of 23% at a center frequency of 36.4 Hz. Within this range, the resonance frequency of the harvester can be set continuously and precisely. With a novel optimized method for frequency measurement and with customized electronics, the system only needs 22 µW to monitor the external vibration frequency and is therefore also suitable for environments with low vibration amplitudes. The system was verified on a vibrational test bench and can easily be tailored to a specific vibration source.

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Design of a Kinetic Energy Harvester for Elephant Mounted Wireless Sensor Nodes of JumboNet

Cited by 18 publications

References 6 publications

Energy-Harvesting Wireless Sensor Networks (EH-WSNs)

Energy-Harvesting Wireless Sensor Networks (EH-WSNs)

A Wireless Sensor System Supplied by a Solar Energy Harvester toward IoT Environmental Monitoring

A Self-Adaptive and Self-Sufficient Energy Harvesting System

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