Machine-to-Machine communications for Cloud-based energy management systems within SMEs

Suciu, George; Necula, Lucian; Pasat, Adrian; Suciu, Victor

doi:10.1109/siitme.2016.7777257

Cited by 11 publications

(8 citation statements)

References 11 publications

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“…These technologies are used to transfer the data from the fog to the cloud layer for further processing [27,46], and this data transmission occurs over a long distance, from users' domains to where the cloud data centers are located. Thus, since the network saturation level is a constant concern [57,82,98,99], it is important to choose a communication medium with appropriate bandwidth for a large amount of data transportation between fog and cloud layers [98]. Considering this concern and the mobile network technologies available, such as Second Generation (2G), Third Generation (3G), Fourth Generation (4G), Fifth Generation (5G), General Packet Radio Service/Code Division Multiple Access (GPRS/CDMA), and Global System for Mobile Communication (GSM), improvements in connectivity levels and mobility of data and communications networks are important challenges related to networks to be overcome [50,53,82].…”

Section: Networkmentioning

confidence: 99%

“…Thus, since the network saturation level is a constant concern [57,82,98,99], it is important to choose a communication medium with appropriate bandwidth for a large amount of data transportation between fog and cloud layers [98]. Considering this concern and the mobile network technologies available, such as Second Generation (2G), Third Generation (3G), Fourth Generation (4G), Fifth Generation (5G), General Packet Radio Service/Code Division Multiple Access (GPRS/CDMA), and Global System for Mobile Communication (GSM), improvements in connectivity levels and mobility of data and communications networks are important challenges related to networks to be overcome [50,53,82]. Following the same idea, the connectivity of electric vehicles to mobile networks is an opportunity that needs to be further developed by companies [83,100].…”

Section: Networkmentioning

confidence: 99%

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Management Challenges and Opportunities for Energy Cloud Development and Diffusion

et al. 2020

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The use of emerging technologies such as cloud computing, Internet of Things, and Big Data, is increasing as tools to assist the management of data and information related to energy systems grow. This allows for greater flexibility, scalability of solutions, optimization of energy use, and management of energy devices. In this sense, the objective of this research is to present the basic elements and requirements for the energy cloud and its management and discuss the main management challenges and opportunities for the development and diffusion of the energy cloud. This study was based on a systematic review carried out to identify the elements that compose the energy cloud and what is necessary for its management, and to list the challenges and opportunities that may be explored by researchers and practitioners. The results show that the layout for the energy cloud and its management can be structured in layers and management support blocks’ format. It was found that 70 basic elements make up the main layers and 36 basic elements make up the management support blocks. The findings of this article also provide insights into the technical, scientific, and management development necessary for the evolution of energy systems toward the cloud computing environment.

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Section: Networkmentioning

confidence: 99%

Section: Networkmentioning

confidence: 99%

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

et al. 2020

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“…Also give details on vulnerabilities of various scenarios. In 2016, G. Suciu, O. Fratu, L. Necula, A. Pasat and V. Suciu [6] present the overview of the advantages of machine-to-machine communication to the business environment. Mainly they explained the energy management through cloud platform for economic growth of the SMEs.…”

Section: Literature Surveymentioning

confidence: 99%

IOT based Smart Device Management using MQTT Services

Vedha¹

2019

IJRASET

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IOT has gained the major interest of people in the present days as the innovative achievements have occurred in this area. This results the growth in numbers of IOT devices installed which give rise to the challenge of data acquisition, management and inter-communication among these IOT devices. To make over this, we propose cloud-based IOT platforms which focus on bestowing the higher-priority IOT devices and also peak reduction through solar energy by executing the device supply management algorithm along with the integration of MQTT which is the avant-grade IOT protocol.

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“…Researchers[4] developed M2M with Bluetooth as a communication media on home area networks (HAN) to support data communication in gathering information related to the energy used. Researchers[5] developed M2M communication from sensor devices on cloud energy management systems. Researchers[6] developed M2M communication in the process of controlling and transferring measured energy data.…”

mentioning

confidence: 99%

Zigbee Communication on Machine to Machine Smart Home Micro Grid for Efficient Controlling System

Purwanto¹,

Hermawan²,

Suherman³

2020

Proceedings of the Proceedings of the 13th International Interdisciplinary Studies Seminar, IISS 2019, 30-31 October 2019, Mala

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Data communication between sensors and actuator devices with users in the energy monitoring and control system on the smart grid is very dependent on the existence of a gateway device. This causes the control process to be ineffective because it is very dependent on the Gateway as the communication center. For that we need an effective approach so that the communication process can take place only on the relevant device, i.e. using M2M technology. In its development, the use of M2M technology has challenges related to congestion, error communication and delay so that further research is needed. In this research the development of a smart home micro grid will use M2M technology which enables communication between devices in the smart grid area. One component needed in M2M communication is Zigbee which is a medium for data communication without wires. Zigbee performance is measured using RSSI and Throughput with scenarios without or with obstructions as well as scenarios through the selection of router configurations. Experimental results show optimal performance of zigbee with scenarios in obstacle areas at a distance of 35 meters and in areas without barriers at a distance of 60 meters. In the router configuration selection scenario, it can be concluded that direct configuration is the optimal choice rather than using a router. For this reason, when using a configuration through a router, the number of sending nodes must be minimized.

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Machine-to-Machine communications for Cloud-based energy management systems within SMEs

Cited by 11 publications

References 11 publications

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

IOT based Smart Device Management using MQTT Services

Zigbee Communication on Machine to Machine Smart Home Micro Grid for Efficient Controlling System

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