Power Harvesting in Wireless Sensor Networks and Its Adaptation With Maximum Power Point Tracking: Current Technology and Future Directions

Omairi, Amzar; Ismail, Zool Hilmi; Danapalasingam, Kumeresan A.; Ibrahim, Mohd Haniff

doi:10.1109/jiot.2017.2768410

Cited by 57 publications

(29 citation statements)

References 81 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A solar tracking mechanism to improve the energy harvested is presented in [5]. Different Maximum Power Tracking (MPPT) techniques are explored in [6] with focus on Semi-Pilot Cell Fractional Open Circuit Voltage (SPC-FOCV). As mentioned above, there are independent works related to solar harvesting, its enhancement, and corresponding generic duty cycle approaches to MAC for WSNs.…”

Section: Related Workmentioning

confidence: 99%

Sustaining the Life of Wireless Sensor Node with Energy Harvesting

Rao¹,

Pillai²,

Shiny³

2019

IJEAT

View full text Add to dashboard Cite

Wireless Sensor Networks (WSN) play a significant role in a number of sensing and monitoring applications. It has also become a key enabling technology for Internet of Things (IoT). Most of the earlier works were focused on extending the battery life by reducing the energy consumption of the wireless node. Availability of small footprint devices capable of ambient energy harvesting has triggered renewed interest in enhancing the performance of WSNs. In this paper we propose a novel method that can be applied to duty cycle based Media Access Control (MAC) protocols in energy harvesting WSNs to sustain the life of the node. Our approach takes into consideration the solar energy available at any instant of time so as to maximize the performance. We have conducted detailed measurements and analysis of solar energy harvested under different conditions. Our results show significant enhancement in throughput achieved while sustaining the life of the node.

show abstract

Section: Related Workmentioning

confidence: 99%

Sustaining the Life of Wireless Sensor Node with Energy Harvesting

Rao¹,

Pillai²,

Shiny³

2019

IJEAT

View full text Add to dashboard Cite

show abstract

“…With growing demand for implementing such systems, a severe problem arises with the maintenance of sensor activity over a long period of time, and the utilization of old waste batteries. Sometimes the problem is overcome by supplying electronic circuits with energy gathered from solar radiation, heat flow, or mechanical vibration [3,4], but these resources cannot always be used. Since the contemporary semiconductors consume increasingly less energy, it is possible to supply the sensor node by the electromagnetic field, but special care has to be put on the energy balance in its circuitry.…”

Section: Introductionmentioning

confidence: 99%

“…Since the contemporary semiconductors consume increasingly less energy, it is possible to supply the sensor node by the electromagnetic field, but special care has to be put on the energy balance in its circuitry. The hardware components of such an electronic system has to be highly power-efficient because energy conveyed by the electromagnetic field is very low, e.g., harvesting from Global System for Mobile Communications (GSM) operating at 0.9 GHz or 1.8 GHz it is possible to obtain up to 0.1 µW/cm 2 , from the wireless network Wi-Fi 2.4 GHz up to 0.01 µW/cm 2 2 of 19 which is a very low value as compared to the light source, 10 mW/cm 2 , vibration, 0.1 mW/cm 2 or heat, 10 mW/cm 2 [3,4].…”

Section: Introductionmentioning

confidence: 99%

LTCC Flow Sensor with RFID Interface

Węglarski

Jankowski-Mihułowicz

Pitera

et al. 2020

Sensors

View full text Add to dashboard Cite

The idea of battery-less flow sensors and their implementation in wireless measurement systems is presented in this research article. The authors take advantage of their latest achievements in the Low Temperature Co-fired Ceramic (LTCC) technology, RadioFrequency Identification (RFID) technique, and increasing availability of low power electronics in order to get rid of the need to use electrochemical cells in a power supply unit of the elaborated device. To reach this assumption, special care has to be put on the energy balance in such an autonomous sensor node. First of all, the new concept of an electromagnetic LTCC turbine transducer with a signal conditioner which only draws a current of around 15 µA, is proposed for measuring a flow rate of fluids. Next, the autonomy of the device is showed; measured data are gathered in a microcontroller memory and sent to a control unit via an RFID interface which enables both information exchange and power transfer. The energy harvested from the electromagnetic field is used to conduct a data transmission, but also its excess can be accumulated, so the proposed sensor operates as a semi-passive transponder. The total autonomy of the device is achieved by implementing a second harvester that continually gathers energy from the environmental electromagnetic field of common active radio systems (e.g., Global System for Mobile Communications (GSM), wireless network Wi-Fi).

show abstract

“…The purpose of storage device is to buffer energy to allow the node surviving periods when the harvested energy is not enough. To achieve prolonged lifespan with dynamic ambient power, an energy management strategy is indispensable in an EH-WSN system, reduced hardware requirements and lower cost, the comparison result has shown improvement in providing precise calculation of the new maximum power point whenever there is an irradiance change [12]. Christos Konstantopoulos et al designed a self-powered battery-less electric potential wireless sensor that harvests near-maximum energy from the avocado plant and transmits a signal tens of meters away.…”

Section: Introductionmentioning

confidence: 99%

Predictive Power Management for Wind Powered Wireless Sensor Node

Yin

Zhang

2018

Future Internet

View full text Add to dashboard Cite

A conventional Wireless Sensor Network (WSN) cannot have an infinite lifetime without a battery recharge or replacement. Energy Harvesting (EH), from environmental energy sources, is a promising technology to provide sustainable powering for a WSN. In this paper, we propose and investigate a novel predictive energy management framework that combines the Maximal Power Transferring Tracking (MPTT) algorithm, a predictive energy allocation strategy, and a high efficiency transmission power control mechanism: First, the MPTT optimal working point guarantees minimum power loss of the EH-WSN system; Then, by exactly predicting the upcoming available energy, the power allocation strategy regulates EH-nodes’ duty cycle accurately to minimize the power failure time; Ultimately, the transmission power control module further improves energy efficiency by dynamically selecting the optimum matching transmission power level with minimum energy consumption. A wind energy powered wireless sensor system has been equipped and tested to validate the effectiveness of the proposed scheme. Results indicate that compared with other predictive energy managers, the proposed mechanism incurs relatively low power failure time while maintaining a high-energy conversion rate.

show abstract

Power Harvesting in Wireless Sensor Networks and Its Adaptation With Maximum Power Point Tracking: Current Technology and Future Directions

Cited by 57 publications

References 81 publications

Sustaining the Life of Wireless Sensor Node with Energy Harvesting

Sustaining the Life of Wireless Sensor Node with Energy Harvesting

LTCC Flow Sensor with RFID Interface

Predictive Power Management for Wind Powered Wireless Sensor Node

Contact Info

Product

Resources

About