Energy Harvesting in Wireless Sensor Networks

Ramya, R.; Saravanakumar, G.; Ravi, Srivatsan

doi:10.1007/978-81-322-2656-7_76

Cited by 19 publications

(10 citation statements)

References 19 publications

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“…Another potential solution to the energy problems of WSNs is to harvest ambient energy. Solar energy harvesting is dependable and has a high energy capacity [43], [44]. The combination of the low-power scheme and energy-harvesting technology provides a solid solution for self-sufficient WSNs.…”

Section: Introductionmentioning

confidence: 99%

Design and Application of a Low-Cost, Low- Power, LoRa-GSM, IoT Enabled System for Monitoring of Groundwater Resources With Energy Harvesting Integration

Kombo¹,

Kumaran

Bovim³

2021

IEEE Access

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The rapid expansion of Internet of Things (IoT) devices and applications has accelerated research in various areas of human development. However, the cost of commercial instrumentation impedes the momentum of technological growth in developing regions. In this study, a low-cost, low-power, wireless sensor network for groundwater monitoring (LWNGM) was developed to provide near real-time groundwater level data to support prudent decision making in groundwater resource management in Zanzibar, Tanzania. To facilitate reproducibility, we provided a detailed description of the LWNGM development procedure. The system is based on the ATmega328P microcontroller platform and incorporates low-cost MS5803-14BA and MB280 sensors. To provide a low-power scheme, the Arduino UNO wakes up in six-hour intervals for measurements and data-logging to the SD card, and at twelve-hour intervals for relaying data (in batches) to the LoRa gateway, before it goes back into a deep-sleep mode for the rest of the time (duty cycle<1% ). The average power consumption for the end node across all system cycles was 104.081mW. The power autonomy of all nodes is provided by a 3.7V, 5000mAh rechargeable LiPo battery, and a 9V, 600mAh rechargeable Liion battery, respectively, which are supported by 6V and, 3W solar chargers. The data processing and storage components, as well as the data visualization dashboard, were created using free and open-source software. The LWNGM was reasonably priced, ranging between $350 and $400. The proposed system allows for the adoption of hydrological monitoring, particularly in areas with a limited budget for hydrologic management.

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Section: Introductionmentioning

confidence: 99%

Design and Application of a Low-Cost, Low- Power, LoRa-GSM, IoT Enabled System for Monitoring of Groundwater Resources With Energy Harvesting Integration

Kombo¹,

Kumaran

Bovim³

2021

IEEE Access

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“…The critical factors which must be considered while using WSN in the above listed fields are described as under  There is a power consumption constraint for nodes [3].…”

Section: General Considerations In Wsnmentioning

confidence: 99%

A Review of Various Scheduling Techniques Considering Energy Efficiency in WSN

Kaur¹,

Sharma²

2017

IJCA

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In advanced computing the Wireless Sensor Networks becomes the need of hour. The resources which are used in Wireless sensor Networks are limited in numbers. Resources are required to be allocated wisely to perform the numerous tasks in which job scheduling is always considered to be a key feature. Wireless sensor network has many sensor nodes as which are considered to be main components. Sensor node has limited energy and storage capabilities. So energy consumption in this field during scheduling is a biggest issue. This issue is carried out by many researchers and legion of algorithms are devised for achieving energy efficiency during scheduling of resources in wireless sensor networks. In this paper we have focused both the moving and stationery nodes for our study. Moving nodes are considered to be more prone to energy loss as compared to static nodes. This paper aims to study various techniques used to perform scheduling among such nodes to minimize energy consumption.

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“…With the development of integrated circuits and low-power sensing technologies, wireless sensor networks have been widely implemented in bridge load-bearing monitoring [1] , marine environment monitoring [2] , structure health monitoring [3] , and other fields [4][5][6] . When the sensor nodes have worked in remote, harsh, or embedded environments for a long period [7][8] , the chemical battery will no longer meet the requirements due to the limited capacity, environmental pollution, high replacement cost, and low-temperature sustainability [9][10] .…”

Section: Introductionmentioning

confidence: 99%

A review of nonlinear piezoelectric energy harvesting interface circuits in discrete components

Zhang

Liu

Zhou

et al. 2022

Appl. Math. Mech.-Engl. Ed.

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Piezoelectric energy harvesting is considered as an ideal power resource for low-power consumption gadgets in vibrational environments. The energy extraction efficiency depends highly on the interface circuit, and should be highly improved to meet the power requirements. The nonlinear interface circuits in discrete components have been extensively explored and developed with the advantages of easy implementation, stable operation, high efficiency, and low cost. This paper reviews the state-of-the-art progress of nonlinear piezoelectric energy harvesting interface circuits in discrete components. First, the working principles and the advantages/disadvantages of four classical interface circuits are described. Then, the improved circuits based on the four typical circuits and other types of circuits are introduced in detail, and the advantages/disadvantages, output power, efficiency, energy consumption, and practicability of these circuits are analyzed. Finally, the future development trends of nonlinear piezoelectric energy harvesting circuits, e.g., self-powered extraction, low-power consumption, and broadband characteristic, are predicted.

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Energy Harvesting in Wireless Sensor Networks

Cited by 19 publications

References 19 publications

Design and Application of a Low-Cost, Low- Power, LoRa-GSM, IoT Enabled System for Monitoring of Groundwater Resources With Energy Harvesting Integration

Design and Application of a Low-Cost, Low- Power, LoRa-GSM, IoT Enabled System for Monitoring of Groundwater Resources With Energy Harvesting Integration

A Review of Various Scheduling Techniques Considering Energy Efficiency in WSN

A review of nonlinear piezoelectric energy harvesting interface circuits in discrete components

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