A 24 hour IoT framework for monitoring and managing home automation

Kesavan, G.; Sanjeevi, P.; Viswanathan, Pragasam

doi:10.1109/inventive.2016.7823205

Cited by 26 publications

(7 citation statements)

References 8 publications

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“…The weather environmental condition and status are predicted using the forecast system based on decision-making and supporting system, and information is stored in the cloud using IoT. [13][14][15][16][17][18][19][20][21][22][23] The IoT is used to fetch all sensor data collected, and accurate weather information is predicted using the proposed methodology of decision-making and supporting system. Rama Krushna Das et al 24 have proposed the smart agriculture farming system using IoT by inspiring the Indian nation's financial contribution basis of profits and employment of around 73%.…”

Section: Related Workmentioning

confidence: 99%

“…The decision‐making and supporting system using cloud technology is needed for improving efficiency and minimizing economic expenditure in the agriculture industry. The weather environmental condition and status are predicted using the forecast system based on decision‐making and supporting system, and information is stored in the cloud using IoT 13‐23 . The IoT is used to fetch all sensor data collected, and accurate weather information is predicted using the proposed methodology of decision‐making and supporting system.…”

Section: Related Workmentioning

confidence: 99%

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Precision agriculture and farming using Internet of Things based on wireless sensor network

Sanjeevi

Prasanna

Kumar

et al. 2020

Trans Emerging Tel Tech

104

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In the recent past, the agriculture and farming industry has become the precision network connectivity of sensors with a new dimension of Internet of Things (IoT) technology. The cloud computing and wireless sensor network-(WSN) based extensive distance network in IoT can be applied to the agriculture and farming industry in a remote area. In this paper, we propose scalable wireless sensor network architecture for monitoring and control using IoT for agriculture and farming in a remote area. One of the significant managements in precision agriculture and farming (PAF) is water resource irrigation and proper utilization of water resources. Appropriate utilization of water irrigation management can be achieved by applying WSN technology using IoT. The efficient communication of various wireless sensors is processed using IoT in PAF to improve the productivity of farmers. We have analyzed the WSN structure based on throughput maximization, latency minimization, high signal-to-noise ratio (SNR), minimum mean square error, and improved coverage area. The experimental results have proved that the proposed methodology provides better performance than conventional IoT-based agriculture and farming.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Precision agriculture and farming using Internet of Things based on wireless sensor network

Sanjeevi

Prasanna

Kumar

et al. 2020

Trans Emerging Tel Tech

104

View full text Add to dashboard Cite

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“…The control is performed automatically with the help of sensors that sense human activities. Reference [6] uses the Ubidots platform to monitor smart home conditions with the help of four sensors (Gas, Flame, Sound, and Temperature sensors).…”

Section: Related Workmentioning

confidence: 99%

Home Energy Management and Monitoring Using Ubidots Platform

Mohammed

Selman

2020

Al-Furat Journal of Innovations in Electronics and Computer Engineering

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This paper introduces a practical design for home energy management and monitoring. It has been assumed that the home has a 12 V DC power source and with variable generation power. The virtual house has loads that consisting of four lamps, each with a power of 10 watts and operated on 12V DC. The home can be operated in two modes. The first mode is the grid-tied mode, in which the energy is imported or exported the power to/from the grid depending on whether the home source generation power is greater than or less than its load. The second mode is called the island mode, in which the home depends on its power supply to feed its loads with the required power. The transition between the two operating modes of the home is controlled fully by the Arduino UNO microcontroller according to the main grid status and home status (generation and load demand). The assumption that was set in the designed system is that the maximum current that a home source can supply is 3A. Therefore, when the current that a home needs is more than this value, it imports energy from the main grid and less than that value, it exports energy to the grid. The data of the grid voltage and load current of the home were transferred by the Arduino UNO microcontroller to the Node MCU using RF (HC-12) module. The cases of the main grid and the home power source are monitored in real-time using the Ubidots platform. These cases data raised to the Ubidots platform by using the Wi-Fi-ESP8266 included in the Node MCU board. All cases were tested in practice and the Ubidots platform showed a quick response in updating the data as well as its security.

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“…This research used Ubidots © platform [25] as a cloud sever. Several research studies [26,27] use the platform for sharing data using a cloud environment. Table 3 shows the collected and shared data using the cloud system.…”

Section: Development Of Intelligent Data Analytics-based Cloud Computmentioning

confidence: 99%

Effective Dynamic Control Strategy of a Key Supplier with Multiple Downstream Manufacturers Using Industrial Internet of Things and Cloud System

Lee

2019

Processes

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Intelligent data analytics-based cloud computing is a leading trend for managing a large-scale network in contemporary manufacturing environments. The data and information are shared using the cloud environments and valuable knowledge is driven using the embedded intelligence analytics. This research applied this trend to the control of a key supplier’s real-time production planning for solving joint production goals with downstream producers. As a key supplier has several downstream producers in general, several uncertainties are embedded on the supply chain network such as the quality issue in the supplier and the occurrence of unexpected orders from the downstream industries. While the control of a supply plan is difficult considering these dynamics in traditional frameworks, the proposed framework detects the dynamic changes accurately using the constructed cloud system. Moreover, the real-time control considering uncertain scenarios as well as the extracted knowledge is achieved using the provided Industrial Internet of Things (IIoT) and simulation-based control model using stochastic network. To show the effective of the suggested framework, real manufacturing cases and their numerical analyses are provided.

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A 24 hour IoT framework for monitoring and managing home automation

Cited by 26 publications

References 8 publications

Precision agriculture and farming using Internet of Things based on wireless sensor network

Precision agriculture and farming using Internet of Things based on wireless sensor network

Home Energy Management and Monitoring Using Ubidots Platform

Effective Dynamic Control Strategy of a Key Supplier with Multiple Downstream Manufacturers Using Industrial Internet of Things and Cloud System

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