Environmental taxonomy of power scavenging techniques for autonomous self powered wireless sensors

Tabbakh, Seyed Reza Kamel; Maarefdoust, R.; Kyun, Ng Chee; Ali, Borhanuddin Mohd

doi:10.1109/apccas.2010.5774812

Cited by 8 publications

(7 citation statements)

References 21 publications

(21 reference statements)

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“…Radiant energy is harvested from the sun and from radio frequency waves, for both indoor and outdoor systems. In recent years, energy harvesting from radio frequency and sunlight has been explored extensively in an attempt to utilize this source of energy to power wireless sensor networks for environmental monitoring applications (Morais et al 2008;Bhuvaneswari et al 2009;Tabbakh et al 2010;Alippi et al 2011;Lim et al 2013;.…”

Section: Radiant Energymentioning

confidence: 99%

Energy-Harvesting Wireless Sensor Networks (EH-WSNs)

Adu-Manu

Adam

Tapparello

et al. 2018

ACM Trans. Sen. Netw.

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: Radiant Energymentioning

confidence: 99%

Energy-Harvesting Wireless Sensor Networks (EH-WSNs)

Adu-Manu

Adam

Tapparello

et al. 2018

ACM Trans. Sen. Netw.

288

162

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“…Solar photovoltaic is discussed in this paper. According to the photovoltaic principle, solar cells are used to convert sunlight into electrical power directly [22,23]. Other lights such as fluorescent and infrared can also be used as the power source for solar cells.…”

Section: Lightmentioning

confidence: 99%

Current Developments of Energy Scavenging, Converting and Storing in WSNs

Bhaskar¹,

Champawat²,

Bhaskar³

2015

IJCA

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Wireless sensor networks (WSNs) design requires multidisciplinary approach in the field of wireless communication, embedded systems, networking, digital signal processing, hardware and software engineering. Major factors to influence the WSNs design are hardware and software constraints, scalability, cost, transmission media, network topology and power consumption etc. Most of WSN nodes are battery powered. With the limited capacity of batteries to power WSN nodes, need of energy harvester or scavenger is required to harvest or scavenge energy from the environment to improve the life-time of the sensor node. The harvested or scavenged energy is converted by power converters to recharge the sensor nodes or for the storage devices. This paper gives current developments of energy harvesting technologies, power converters and storage devices proposed by various researchers in WSNs along with some open research problems.

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“…Even in devices that are not implanted (on-body), it is convenient to have a remote means of charging a battery or just powering a batteryless system. To solve this problem, many kinds of energy harvesting techniques have been devised, such as harvesting from temperature differences, mechanical oscillations, pH differences, radio frequency (RF) signals, among other energy sources [4], [5]. In this paper we present a system that uses an RF signal to power a temperature sensor for on-body temperature monitoring.…”

Section: Introductionmentioning

confidence: 99%

An RF-powered temperature sensor designed for biomedical applications

Martins

Sousa

2013

2013 26th Symposium on Integrated Circuits and Systems Design (SBCCI)

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An RF-powered temperature sensor with power management and communication circuits designed with a standard 130 nm CMOS technology is reported. The system was designed to have an RFID-like functionality, i.e., the device communicates with an external reader, receiving power and backscattering information. Initially, the system collects energy in a low-power charging mode, with a rectifier optimally designed to operate with signal levels as low as −10 dBm centered approximately 900 MHz. Operating at condition of minimum input power, the system takes around 70 μs to power up. A calibration method was designed to enable a measurement error of less than 0.1 o C while the sensor operates in the human body temperature range (35 to 42 o C). The circuits were simulated in the Cadence Spectre environment and the total power consumption observed was approximately 8.5 μW when in active mode and 4.9 μW when in standby mode. Some parts of the circuit were measured and preliminary results are reported.

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Environmental taxonomy of power scavenging techniques for autonomous self powered wireless sensors

Cited by 8 publications

References 21 publications

Energy-Harvesting Wireless Sensor Networks (EH-WSNs)

Energy-Harvesting Wireless Sensor Networks (EH-WSNs)

Current Developments of Energy Scavenging, Converting and Storing in WSNs

An RF-powered temperature sensor designed for biomedical applications

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