Review of communication methods and system design structure for solar monitoring system

Ranjit, S. S. S.; Aqil, A. F. M. F.; Baljit, S. S.S.; Wong, Yan Chiew

doi:10.1063/1.5066687

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…In Tables 2 and 3, a comprehensive list of popular microcontroller boards for solar plant monitoring is presented, including Uno, Nano, Mega, and NodeMCU. In the majority of the proposed solutions, Raspberry Pi (RPi) has been employed as presented by [3,4,6,7,16,20,32,37,41,43,49,50]. However, RPi is not an optimum choice for end devices considering its monetary cost and power requirements.…”

Section: Microcontroller Boardmentioning

confidence: 99%

“…However, the disadvantages are short distances and comparatively higher power consumption per bit transmission. The two viable options are Zigbee, observed by [29,41,42,49], and Wi-Fi, observed by [2,3,7,14,20,21,31,32,[35][36][37][38]41,42,[45][46][47][48][49]. On the basis of this review, Zigbee and Wi-Fi have the potential to create local wireless sensor networks.…”

Section: Sensorsmentioning

confidence: 99%

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Harnessing the Cloud: A Novel Approach to Smart Solar Plant Monitoring

Ali,

Dost,

Khattak

et al. 2024

Future Internet

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Renewable Energy Sources (RESs) such as hydro, wind, and solar are merging as preferred alternatives to fossil fuels. Among these RESs, solar energy is the most ideal solution; it is gaining extensive interest around the globe. However, due to solar energy’s intermittent nature and sensitivity to environmental parameters (e.g., irradiance, dust, temperature, aging and humidity), real-time solar plant monitoring is imperative. This paper’s contribution is to compare and analyze current IoT trends and propose future research directions. As a result, this will be instrumental in the development of low-cost, real-time, scalable, reliable, and power-optimized solar plant monitoring systems. In this work, a comparative analysis has been performed on proposed solutions using the existing literature. This comparative analysis has been conducted considering five aspects: computer boards, sensors, communication, servers, and architectural paradigms. IoT architectural paradigms employed have been summarized and discussed with respect to communication, application layers, and storage capabilities. To facilitate enhanced IoT-based solar monitoring, an edge computing paradigm has been proposed. Suggestions are presented for the fabrication of edge devices and nodes using optimum compute boards, sensors, and communication modules. Different cloud platforms have been explored, and it was concluded that the public cloud platform Amazon Web Services is the ideal solution. Artificial intelligence-based techniques, methods, and outcomes are presented, which can help in the monitoring, analysis, and management of solar PV systems. As an outcome, this paper can be used to help researchers and academics develop low-cost, real-time, effective, scalable, and reliable solar monitoring systems.

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Section: Microcontroller Boardmentioning

confidence: 99%

Section: Sensorsmentioning

confidence: 99%

Harnessing the Cloud: A Novel Approach to Smart Solar Plant Monitoring

Ali,

Dost,

Khattak

et al. 2024

Future Internet

View full text Add to dashboard Cite

show abstract

“…Power consumption is a main constraint in WSN as the operational lifetime of WSN is considered as a critical issue for deployment of the network [5][6][7][8][9]. Sensor nodes in WSN are powered by batteries which need long operating hours without sacrificing system performance but the power of the batteries is limited and exhausts after some time [10][11][12]. Due to hundreds to thousands of distributed nodes in WSN, the replacement of batteries becomes difficult and costly [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Low power wake-up receiver based on ultrasound communication for wireless sensor network

Wong¹,

Tan²,

Singh³

et al. 2020

Bulletin EEI

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Wireless sensor network (WSN) consists of base stations and sensors nodes to monitor physical and environmental conditions. Power consumption is a challenge in WSN due to activities of nodes. High power consumption is required for the main transceiver in WSN to receive communication requests all the time. Hence, a low power wake-up receiver is needed to minimize the power consumption of WSN. In this work, a low power wake-up receiver using ultrasound data communication is designed. Wake-up receiver is used to detect wake-up signal to activate a device in WSN. Functional block modelling of the wake-up receiver is developed in Silterra CMOS 130nm process technology. The performance of the wake-up receiver has been analyzed and achieving low power consumption which is 22.45μW. A prototype to demonstrate a wireless sensor node with wake-up receiver has been developed incorporating both ultrasonic and RF for internal and external communication respectively. We achieve 99.97% of power saving for 10s operation in the experimental setup for the WSN with and without wake-up receiver. Wake-up receiver used in WSN save power and prolong the lifetime of batteries and thus extending the operational lifetime of WSN.

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Review of communication methods and system design structure for solar monitoring system

Cited by 2 publications

References 6 publications

Harnessing the Cloud: A Novel Approach to Smart Solar Plant Monitoring

Harnessing the Cloud: A Novel Approach to Smart Solar Plant Monitoring

Low power wake-up receiver based on ultrasound communication for wireless sensor network

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