A Comparison of Application Layer Communication Protocols in IoT-enabled Smart Grid

Author(s):  
Lucija Sikic ◽  
Jasna Jankovic ◽  
Petar Afric ◽  
Marin Silic ◽  
Zeljko Ilic ◽  
...  
Author(s):  
Sotirios K. Goudos ◽  
Panagiotis Sarigiannidis ◽  
Panagiotis I. Dallas ◽  
Sofoklis Kyriazakos

In this design unit, a design to test the performances of varying models was developed for the simulations in the PLC-base data link layer. The design includes a smart home and a Smart Grid environment where a comparison between Zigbee and WiMax-based models can be performed. The Smart Grid Test Bed has been designed using OPNET and Power Line Communication is proposed in this book. It is being designed to allow test bed experiments in four layers among OSI 7 layers. This chapter is organized as follows: The Physical Layer and Datalink Layer for Smart Grid Test Bed in Section 1; the Transport Layer for Smart Grid Test Bed in Section 2; and finally, Application Layer for Smart Grid Test Bed in Section.


Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4828 ◽  
Author(s):  
Dimitris Koutras ◽  
George Stergiopoulos ◽  
Thomas Dasaklis ◽  
Panayiotis Kotzanikolaou ◽  
Dimitris Glynos ◽  
...  

The Internet of Medical Things (IoMT) couples IoT technologies with healthcare services in order to support real-time, remote patient monitoring and treatment. However, the interconnectivity of critical medical devices with other systems in various network layers creates new opportunities for remote adversaries. Since most of the communication protocols have not been specifically designed for the needs of connected medical devices, there is a need to classify the available IoT communication technologies in terms of security. In this paper we classify IoT communication protocols, with respect to their application in IoMT. Then we describe the main characteristics of IoT communication protocols used at the perception, network and application layer of medical devices. We examine the inherent security characteristics and limitations of IoMT-specific communication protocols. Based on realistic attacks we identify available mitigation controls that may be applied to secure IoMT communications, as well as existing research and implementation gaps.


Author(s):  
Felipe Viel ◽  
Luis Augusto Silva ◽  
Valderi Leithardt ◽  
Gabriel Villarubia González ◽  
Raimundo Celeste Ghizoni Teive ◽  
...  

The evolution and miniaturization of the technologies for processing, storage, and communication have enabled computer systems to process a high volume of information and make decisions without human intervention. Within this context, several systems architectures and models have gained prominences, such as the Internet of Things (IoT) and Smart Grids (SGs). SGs use communication protocols to exchange information, among which the Open Smart Grid Protocol (OSGP) stands out. In contrast, this protocol does not have integration support with IoT systems that use some already consolidated communication protocols, such as the Constrained Application Protocol (CoAP). Thus, this work develops the integration of the protocols OSGP and CoAP to allow the communication between conventional IoT systems and systems dedicated to SGs. Results demonstrate the effectiveness of this integration, with the minimum impact on the flow of commands and data, making possible the use of the developed CoAP-OSGP Interface for Internet of Things (COIIoT).


2022 ◽  
pp. 165-182
Author(s):  
Jun-Ho Huh

In this design unit, a design to test the performances of varying models was developed for the simulations in the PLC-base data link layer. The design includes a smart home and a Smart Grid environment where a comparison between Zigbee and WiMax-based models can be performed. The Smart Grid Test Bed has been designed using OPNET and Power Line Communication is proposed in this book. It is being designed to allow test bed experiments in four layers among OSI 7 layers. This chapter is organized as follows: The Physical Layer and Datalink Layer for Smart Grid Test Bed in Section 1; the Transport Layer for Smart Grid Test Bed in Section 2; and finally, Application Layer for Smart Grid Test Bed in Section.


2013 ◽  
Vol 421 ◽  
pp. 541-545 ◽  
Author(s):  
Lu Chen ◽  
Xing Liu ◽  
Tao Zhang ◽  
Yu Fei Wang

Information and communication technology is one of the key issues of smart grid and the basis of its realization. To standardization of smart grid information architecture, this paper analyzes smart grid conceptual reference model, propose smart grid hierarchical information architecture, including grid equipment layer, communication gird layer, data storage layer and data application layer. For this information architecture, this paper finally discusses smart gird protection system.


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

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.


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