A smart lighting system for greenhouses based on Narrowband-IoT communication

Chang, Yung Sheng; Chen, Yi Hsiung; Zhou, Sheng Kai

doi:10.1109/impact.2018.8625804

Cited by 20 publications

(10 citation statements)

References 10 publications

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“…In [10], a smart lighting system prototype based on Narrowband-internet of things (IoT) is proposed. The communication system is designed to connect the back-end system and fields such as greenhouses.…”

Section: Related Workmentioning

confidence: 99%

A Visible Light Communication Channel Model for Agronomic Environments

Hs¹,

Pp²,

Fa³

et al. 2021

Preprint

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Currently, agriculture based on agronomic greenhouses is replacing traditional agriculture. This technique reduces dependence on rain on crops. It also generates a controlled internal environment making optimal use of land and water resources. However, this environment needs more care and attention compared to traditional agriculture. To overcome this limitation, various radio frequency (RF)-based technologies can be used. Nevertheless, studies show that the use of communications in RF bands degrades crops' growth and quality. Therefore, an efficient solution is to use the visible light spectrum for communication, the main technology of which is called visible light communication (VLC). Despite numerous studies for the application of VLC in indoor environments, specific VLC systems for agronomic greenhouse environments or their channel models are not yet investigated in depth. To collaborate on state of art on this topic, we present in this paper a novel channel model that incorporates specific factors that affect the quality of VLC systems in agronomic greenhouse environments. Factors such as the random position and orientation of the transmitters and external environmental agents such as atmospheric and different noise types are considered. These components are integrated into an analytical framework by developing the mathematical model of the VLC channel. Furthermore, the analytical expressions of the received power, the signal-to-noise-ratio (SNR), and the bit error rate (BER) are obtained. A VLC system applied to an agronomic greenhouse scenario is developed through computer simulations to validate the mathematical analysis. The results show that illuminance is adequate for the efficient operation of the greenhouse. Besides, the influence of atmospheric factors and noises on the magnitude and temporal dispersion of the channel impulse response is verified. Finally, the results show the system's performance in terms of SNR and BER, observing their differences compared to a traditional indoor VLC system.

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Section: Related Workmentioning

confidence: 99%

A Visible Light Communication Channel Model for Agronomic Environments

Hs¹,

Pp²,

Fa³

et al. 2021

Preprint

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“…These technologies have differences in power consumption, transmission distance and interference from other signals. All of this wireless technology can be used in greenhouses by first bringing into account the field conditions [40].…”

Section: B Wireless Connectionmentioning

confidence: 99%

Greenhouse Monitoring and Automation Using Arduino: a Review on Precision Farming and Internet of Things (IoT)

Ardiansah¹,

Bafdal²,

Suryadi³

et al. 2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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The 21st century became the beginning of the development of information technology, where one of the revolutions was the presence of the Internet of Things. Internet of Things or abbreviated as IoT is a technology that combines electronic devices, sensors, and the internet to manage data and applications. The Internet of Things can be adopted in agriculture for crop management as a media for monitoring and controlling, especially in greenhouses and is called Precision Farming. The application of precision farming will be more effective in a greenhouse because it is easier to engineer similar environmental conditions. IoT development in greenhouses is using Arduino Microcontroller or Raspberry Pi Microcomputer. These devices are used because the price is low and easy to get on the market and can be designed so that technicians who have limited information technology knowledge can run it. To be able to manage greenhouses with IoT requires sensors as five senses that can detect changes that occur in the greenhouse. By using sensors, the hardware can detect what is happening in the greenhouse and make decisions based on the data acquired. Some sensors that are often used in Precision Farming are temperature and humidity sensors, soil moisture sensors, and light sensors. In the Internet of Things, the data that has been acquired by the hardware will then be transmitted wirelessly. The wireless connections used are Bluetooth, ZigBee Protocol, and Wi-Fi, where Bluetooth and Zigbee connections have a short distance between 10-100 meters, while Wi-Fi has a longer distance especially when connected to the Internet. The purpose of this paper is to understand the advantages and challenges of adopting IoT-based Precision Farming for monitoring and automation.

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“…Smart lighting infrastructures are thus assimilated to wireless sensor networks (WSNs), as in [28], where the performances of a WSN-based solution for the conversion of a standard public lighting network into a smart lighting system are reported and discussed. As in [29][30][31][32][33][34][35][36], smart lighting infrastructures can also be included in the IoT framework.…”

Section: Related Workmentioning

confidence: 99%

Design, Deployment and Evolution of Heterogeneous Smart Public Lighting Systems

Pasolini

Toppan²,

Zabini

et al. 2019

Applied Sciences

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Street lighting characterizes many smart city initiatives around the world. In fact, significant savings can be achieved by not only replacing traditional luminaires with low-power LEDs, but also providing streetlights with smart light controllers and network connectivity, allowing the introduction of a sensible light intensity management and reduction of maintenance costs. Moreover, if designed with a far-looking view, smart lighting infrastructure could also support city-wide Internet of Things services, becoming key enablers of the smart city revolution, also in the 5G perspective. In this paper, we provide a thorough discussion on network architectures and communication technologies that could be adopted for smart public lighting applications, showing their benefits and downsides. Starting with significant activity on research, implementation and in-field testing, we also outline the steps required for the deployment of a smart public lighting infrastructure, each discussed in accordance with the network topology considered. Finally, we introduce some additional services that a smart public lighting infrastructure could support and discuss the benefits that would arise from integration with the upcoming 5G cellular network.In this framework, the momentum for smart public lighting is mounting, as several trials and large-scale implementations showed their effectiveness [5]. In particular, LED fixtures are expected to dramatically reduce urban electricity costs, now due to street lighting for a share of 40% [6]. Smart luminaires will dynamically adapt lighting to actual needs, for instance lowering the lumen output when there are low traffic volumes and good visibility conditions are detected.Important references in this regard are the "GPP Revision of the EU Green Public Procurement Criteria for Road Lighting and traffic signals" [7], authored by the Joint Research Centre (JRC) of the European Commission, and the CEN/TR 13201 lighting standards [8][9][10][11][12], which define how to properly design lighting systems. As reported in Reference [7], "due to the multiple benefits of dimming, dimming controls must be installed in all cases unless, in exceptional circumstances, it can be demonstrated that the total cost of ownership would increase by installing dimming controls. The EN 13201 standard itself [8][9][10][11][12] recognizes that the required lighting levels are dynamic in nature and an appropriate lighting level at all times can only be ensured with adequate dimming control during off-peak hours. Dimming has obvious environmental benefits via lower energy consumption and reduced light pollution. Furthermore, dimming can enhance the lifetime of LED luminaires due to a reduced risk of overheating, which is the principal cause of abrupt LED failure." In this regard, results from a global trial of LED streetlights show that, when coupled with smart controls, LED fixtures can deliver electricity savings of up to 80% over classic lighting technologies [13].Beyond energy savings, since each smart streetlight n...

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A smart lighting system for greenhouses based on Narrowband-IoT communication

Cited by 20 publications

References 10 publications

A Visible Light Communication Channel Model for Agronomic Environments

A Visible Light Communication Channel Model for Agronomic Environments

Greenhouse Monitoring and Automation Using Arduino: a Review on Precision Farming and Internet of Things (IoT)

Design, Deployment and Evolution of Heterogeneous Smart Public Lighting Systems

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