scholarly journals Information and resource management systems for Internet of Things: Energy management, communication protocols and future applications

2019 ◽  
Vol 92 ◽  
pp. 1021-1027 ◽  
Author(s):  
Tariq Umer ◽  
Mubashir Husain Rehmani ◽  
Ahmed E. Kamal ◽  
Lyudmila Mihaylova
Keyword(s):  
Resource Management ◽  
Internet Of Things ◽  
Energy Management ◽  
Communication Protocols ◽  
Management Systems ◽  
Management Communication

scholarly journals Smart Management Consumption in Renewable Energy Fed Ecosystems

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2967 ◽  
Author(s):  
Francisco Javier Ferrández-Pastor ◽  
Juan Manuel García-Chamizo ◽  
Sergio Gomez-Trillo ◽  
Rafael Valdivieso-Sarabia ◽  
Mario Nieto-Hidalgo
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart Grid ◽  
Energy Management ◽  
Communication Protocols ◽  
Energy Generation ◽  
Cloud Services ◽  
Embedded Devices ◽  
Smart Services ◽  
Automation Systems

Advances in embedded electronic systems, the development of new communication protocols, and the application of artificial intelligence paradigms have enabled the improvement of current automation systems of energy management. Embedded devices integrate different sensors with connectivity, computing resources, and reduced cost. Communication and cloud services increase their performance; however, there are limitations in the implementation of these technologies. If the cloud is used as the main source of services and resources, overload problems will occur. There are no models that facilitate the complete integration and interoperability in the facilities already created. This article proposes a model for the integration of smart energy management systems in new and already created facilities, using local embedded devices, Internet of Things communication protocols and services based on artificial intelligence paradigms. All services are distributed in the new smart grid network using edge and fog computing techniques. The model proposes an architecture both to be used as support for the development of smart services and for energy management control systems adapted to the installation: a group of buildings and/or houses that shares energy management and energy generation. Machine learning to predict consumption and energy generation, electric load classification, energy distribution control, and predictive maintenance are the main utilities integrated. As an experimental case, a facility that incorporates wind and solar generation is used for development and testing. Smart grid facilities, designed with artificial intelligence algorithms, implemented with Internet of Things protocols, and embedded control devices facilitate the development, cost reduction, and the integration of new services. In this work, a method to design, develop, and install smart services in self-consumption facilities is proposed. New smart services with reduced costs are installed and tested, confirming the advantages of the proposed model.

scholarly journals IOT Based Home Security And Automation Using Google Assistant

2021 ◽  
Vol 12 (6) ◽  
pp. 117-122
Author(s):  
E.Shirisha Et.al
Keyword(s):  
Internet Of Things ◽  
Energy Management ◽  
Communication Technology ◽  
Mechanical Systems ◽  
Management Systems ◽  
Raspberry Pi ◽  
The Internet ◽  
Earth System ◽  
Energy Management Systems ◽  
And Function

Internet of Things (IOT) is an important technology that affects the internet and communication technology. IOT allows people and objects to be connected anytime, anywhere, in any way/shape and function. Earth's mechanical systems have become very popular in the last few decades and improved living conditions. This project provides the structure and model of an automated earth system. The most important feature is the Raspberry pi, which has an internal Wi-Fi module that allows you to control your device over the Internet. It supports a variety of earth tools, such as energy management systems. Besides, the application is built where the user can control the device using Google Assistant. The IOT project also aims to build a wireless home protection system that uses the ESP32 camera Node MCU module to send alerts to owners if anyone takes a picture of the door and sends it to the owner.

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