Internet of Things in Smart Grid: Architecture, Applications, Services, Key Technologies, and Challenges

Ghasempour, Alireza

doi:10.3390/inventions4010022

Cited by 428 publications

(146 citation statements)

References 28 publications

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“…In this system, the open-source device focuses on sensing tasks exclusively. The validity of this approach was proven by applying its concept to an experimental automated SMG which was intended to monitor the temperature level of a specific PV panel, presenting satisfactory results [44].…”

Section: Related Researchmentioning

confidence: 99%

Decrepit Building Monitoring Solution for Zero Energy Building Management Using PLC and Android Application

Park

2020

Sustainability

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Since power line communication (PLC) technology has been considered a platform technology for smart metering, this study introduces an analogous system technology for the PLC-based monitoring systems in zero energy building management. This technology allows a system operator or an operation center to monitor, calculate, or manage power use remotely through the existing power line so that individual suppliers will be able to grasp the present condition of power use and respond to any unexpected incidents. As in any country, many old buildings in Korea are repaired to be used for 40–50 years or even longer since constructing new ones is expensive. Because remodeling old buildings is not only expensive but also generates construction waste, repairing is the preferred alternative in many cases. With the expectation that the proposed platform technology will be one of the promising technologies for sustainable building, its uninterrupted power usage monitoring and remote power control/management functions will be quite useful for economizing power with convenience. A system with such a PLC-based design and algorithm can be quite scalable as well. As the major contribution of this study, a solution suitable for decrepit buildings or apartments has been developed by using the PLC technology, and the test bed experiment was conducted for it. The result showed that the solution worked flexibly and efficiently. Since it is impossible to install a new network especially in the case of decrepit buildings, PLC must be used through the existing power line. Thus, a decrepit building monitoring system has been proposed in this study for a sustainable building. The proposed solution was simulated with OPNET simulation first. Following the mounting of the actual PLC product and development of a monitoring application to complete the platform/solution, it is being tested at the test bed in a decrepit building.

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Section: Related Researchmentioning

confidence: 99%

Decrepit Building Monitoring Solution for Zero Energy Building Management Using PLC and Android Application

Park

2020

Sustainability

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“…Due to the endless possibilities offered by machine‐to‐machine (M2M) communication and human‐machine interaction (HMI), there is a huge demand for various IoT applications, including military, health, surveillance, agriculture, manufacturing, billing, and 5G systems. As one of the prominent instantiations of IoT, smart grids (SGs) achieve accurate and efficient control over the power grid infrastructure and reliable information transmission . SGs combine the traditional power grid with information technologies to offer close monitoring as well as the control of energy generation and consumption with its two‐way communication capability .…”

Section: Introductionmentioning

confidence: 99%

Fog computing‐based privacy preserving data aggregation protocols

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Özdemir

Xiao

2020

Trans Emerging Tel Tech

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As the number of active Internet of Things (IoT) devices increases, managing and securing the enormous amount of data generated by these devices become harder. With their always-connected smart meters and internet-enabled electrical appliances, smart grids (SGs) are major data generation sources in IoT. Traditional SGs store and process their collected data in centralized cloud servers. Secure data aggregation (SDA) protocols play an essential role in efficient and private data collection and storage in cloud-based SGs. Due to a high number of connected devices, centralized cloud-based SGs may become inadequate to satisfy the processing and storage needs of the collected data. This article introduces two efficient and lightweight SDA protocols for fog computing-based SGs (FCSG), namely, FCSG-DF and FCSG-P, as a complementary solution for processing and storage needs of cloud-based SGs. By leveraging the distributed nature and other extended capabilities of fog computing, the proposed SDA protocols have a better response time with less computational overhead. Moreover, the privacy of fine-grained energy consumption data is preserved with the help of the privacy-preserving data aggregation processes in the hierarchical fog computing structure of FCSG. Extensive performance evaluation results demonstrate that the proposed protocols have superiority in terms of data transmission and storage efficiency compared to cloud-assisted schemes without data aggregation. Both protocols are analyzed by comparing their success in transmission and storage efficiencies. Moreover, privacy analysis verifies that both protocols effectively ensure the privacy of the data in each layer.

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“…Recommendation systems aim at producing a set of significant suggestions or recommendations for a particular user with a specific behavior pattern and preferences. Designing a flexible IoT gateway infrastructures play a central role [1] [2]. Recommendation technologies are applied in the IoT context including, the context of workflows recommendation (e.g., in which we determine the set of software functions that should be included in a workflow definition of a given IoT application), the context of food items recommendation (e.g., these recommendations mainly depend on the status of food items and then a specific offering condition should be employed), the context of personalized instore shopping scenarios recommendation (e.g., such recommendations depend mainly on the current physical position of customers in the store; thus relevant items will be then recommended), and the context of health monitoring (e.g., the recommendation in this context include food items and sports exercises that align with eating behavior and health and physical conditions of a person) [3]- [12].…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Role of Large-Scale Recommendation Systems in the IoT Context

Kashef

2020

IEEE Access

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The Internet of Things (IoT) connects heterogeneous physical devices with the ability to collect data using sensors and actuators. These data can infer useful information for decision-makers in many applications systems monitoring, healthcare, transportations, data storage, smart homes, and many others. In the Era of the Internet of Things (IoT), recommender systems can support scenarios such as recommending apps, IoT workflows, services, sensor equipment, hotels, and drugs to users and customers. Current state-ofart recommendation systems, including collaborative filtering methods, suffer from scalability and sparsity problems. This paper proposes a clustering-based recommendation system that adopts the vector space model from information retrieval to obtain highly accurate recommendations. The proposed algorithm uses four well-known clustering techniques as k-means (KM), fuzzy c-mean (FCM), Single-Linkage (SLINK), and Self-Organizing-Maps (SOM). Various experiments and benchmarking on seven IoT rating datasets from different fields are conducted to assess the performance of the proposed recommender system. The experimental results using both error and prediction metrics indicate that the proposed algorithm outperforms the traditional collaborative filtering approach. Besides, adopting the self-organizing strategy obtains recommendations of significant accuracy as compared to the partitional learning approaches.

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Internet of Things in Smart Grid: Architecture, Applications, Services, Key Technologies, and Challenges

Cited by 428 publications

References 28 publications

Decrepit Building Monitoring Solution for Zero Energy Building Management Using PLC and Android Application

Decrepit Building Monitoring Solution for Zero Energy Building Management Using PLC and Android Application

Fog computing‐based privacy preserving data aggregation protocols

Enhancing the Role of Large-Scale Recommendation Systems in the IoT Context

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