scholarly journals Managing Contingencies in Smart Grids via the Internet of Things

2016 ◽  
Vol 7 (4) ◽  
pp. 2134-2141 ◽  
Author(s):  
Stefano Ciavarella ◽  
Jhi-Young Joo ◽  
Simone Silvestri
Keyword(s):  
Internet Of Things ◽  
Smart Grids ◽  
The Internet ◽  
The Internet Of Things

A Smart Home by Using Internet of Things System: A Succinct Study

2020 ◽  
Vol 17 (9) ◽  
pp. 4207-4212
Author(s):  
Padala Neeraja ◽  
Durgesh Nandan
Keyword(s):  
Internet Of Things ◽  
Mobile Device ◽  
Smart Grids ◽  
Smart Home ◽  
Emerging Technology ◽  
The Internet ◽  
System A ◽  
Machine To Machine Communication ◽  
Machine Communication ◽  
The Internet Of Things

The internet of things is nothing but the interconnection of a number of systems or objects in which the internal circuit consists of a number of sensors and connectors. The main aim of the internet of things is to transfer information and to make an interaction between the systems. Through IoT, all the systems can be sensed and all the home appliances will be controlled remotely through a mobile device. It creates an integration of more and more networks in the future. The IoT is a very important emerging technology nowadays in which the main applications of IoT are smart grids, smart homes, etc. As the number of devices was increasing nowadays IoT plays a very significant role in present society. So, the challenges were increasing and there will be a machine to machine communication and also with the user. It reduces human efforts as it is machine-dependent. It acts according to the instructions given by the user.

scholarly journals COIIoT - An Interface between CoAP and OSGP Protocols for the Integration of Internet of Things Devices with Smart Grids

2020 ◽  
Author(s):  
Felipe Viel ◽  
Luis Augusto Silva ◽  
Valderi Leithardt ◽  
Gabriel Villarubia González ◽  
Raimundo Celeste Ghizoni Teive ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Grid ◽  
Smart Grids ◽  
Communication Protocols ◽  
High Volume ◽  
The Internet ◽  
Human Intervention ◽  
Exchange Information ◽  
Systems Architectures ◽  
The Internet Of Things

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).

The Internet of Things From a Legal Perspective

2022 ◽  
pp. 27-49
Author(s):  
Sidi Mohamed Sidi Ahmed
Keyword(s):  
Internet Of Things ◽  
Data Protection ◽  
Smart Grids ◽  
Personal Data ◽  
The Internet ◽  
Legal Perspective ◽  
Data Protection Law ◽  
Fitness Tracker ◽  
Wearable Medical ◽  
The Internet Of Things

The internet of things (IoT) is one of successive technological waves that could have great impact on different aspects of modern life. It is being used in transport, smart grids, healthcare, environmental monitoring, logistics, as well as for processing pure personal data through a fitness tracker, wearable medical device, smartwatch, smart clothing, wearable camera, and so forth. From a legal viewpoint, processing personal data has to be done in accordance with rules of data protection law. This law aims to protect data from collection to retention. It usually applies to the processing of personal data that identifies or can identify a specific natural person. Strict adherence to this law is necessary for protecting personal data from being misused and also for promoting the IoT industry. This chapter discusses the applicability of the data protection law to IoT and the consequences of non-compliance with this law. It also provides recommendations on how to effectively comply with the data protection law in the IoT environment.

scholarly journals Optimizing Hybrid Metaheuristic Algorithm with Cluster Head to Improve Performance Metrics on the IoT

2021 ◽  
Author(s):  
Malik bader alazzam ◽  
Fawaz Alassery
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Smart Grids ◽  
Weather Prediction ◽  
Cluster Head ◽  
Optimization Techniques ◽  
The Internet ◽  
Wide Range ◽  
Whale Optimization ◽  
The Internet Of Things

Abstract The Internet of Things (IoT) has subsequently been applied to a variety of sectors, including smart grids, farming, weather prediction, power generation, wastewater treatment, and so on. So if the Internet of Things has enormous promise in a wide range of applications, there still are certain areas where it may be improved. Designers had focused our present research on reducing the energy consumption of devices in IoT networks, which will result in a longer network lifetime. The far more suitable Cluster Head (CH) throughout the IoT system is determined in this study to optimize energy consumption. Whale Optimization Algorithm (WOA) with Evolutionary Algorithm (EA) is indeed a mixed meta-heuristic algorithm used during the suggested study. Various quantifiable metrics, including the variety of adult nodes, workload, temperatures, remaining energy, and a target value, were utilized IoT network groups. The suggested method then is contrasted to several cutting-edge optimization techniques, including the Artificial Bee Colony method, Neural Network, Adapted Gravity Simulated annealing. The findings show that the suggested hybrid method outperforms conventional methods.

scholarly journals Consumer Attitudes to the Smart Home Technologies and the Internet of Things (IoT)

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7913
Author(s):  
Elena Korneeva ◽  
Nina Olinder ◽  
Wadim Strielkowski
Keyword(s):  
Internet Of Things ◽  
Smart Grids ◽  
Smart Home ◽  
Value Added ◽  
Smart Homes ◽  
European Countries ◽  
The Internet ◽  
Eastern European ◽  
Eastern European Countries ◽  
The Internet Of Things

This paper focuses on the consumer preferences for the so-called “smart homes” (also known as “smart houses”) which represent a novel addition and a product of the on-going digitalization and the deployment of the Internet of Things (IoT). The major scientific contribution of our study is the empirical model build on the data from the online questionnaire conducted with randomly selected respondents (N = 523) from four European Union (EU) countries and Russia. Even though our results are subject to limitations (no Southern of Northern European countries are included in the scope of this research, which might have yielded different results due to the differences in wealth of citizens and climate in comparison to the Central and Eastern European countries or Germany), they demonstrate that the users included in our sample generally feel inclined to the smart homes technologies and perceive them as a plausible means for improving the safety and security of their lives. On the other hand, some respondents from our sample expressed their concerns over the cybersecurity and technology dependence issues associated with smart homes. It is also apparent that younger respondents (aged 16–35) featured in our research are more worried about their personal data being monitored and analyzed (with a pending threat of leakages). All these results are original and constitute an important scientific value-added to the field of research in smart home technologies and their acceptance by the general public. We demonstrate that the further enhancement of smart homes, and the increase of their popularity and affordability among the customers both in the Central and Eastern European countries and beyond, might depend on the development of the smart grids which these smart homes are an integral part of. The reliability of the smart systems constitutes the key element for achieving the satisfaction of the smart homes residents, and hence needs to be achieved and secured in an effective way. This would ensure the right mix and balance of energy security and efficiency for all customers involved in this process.

Multi-Tier Stack of Block Chain with Proxy Re-Encryption Method Scheme on the Internet of Things Platform

2022 ◽  
Vol 22 (2) ◽  
pp. 1-20
Author(s):  
Bharat S. Rawal ◽  
Poongodi M. ◽  
Gunasekaran Manogaran ◽  
Mounir Hamdi
Keyword(s):  
Internet Of Things ◽  
Smart Grids ◽  
Information Storage ◽  
Third Party ◽  
Security And Privacy ◽  
The Internet ◽  
Smart Contracts ◽  
Block Chain ◽  
Encryption Method ◽  
The Internet Of Things

Block chain provides an innovative solution to information storage, transaction execution, security, and trust building in an open environment. The block chain is technological progress for cyber security and cryptography, with efficiency-related cases varying in smart grids, smart contracts, over the IoT, etc. The movement to exchange data on a server has massively increased with the introduction of the Internet of Things. Hence, in this research, Splitting of proxy re-encryption method (Split-PRE) has been suggested based on the IoT to improve security and privacy in a private block chain. This study proposes a block chain-based proxy re-encryption program to resolve both the trust and scalability problems and to simplify the transactions. After encryption, the system saves the Internet of Things data in a distributed cloud. The framework offers dynamic, smart contracts between the sensor and the device user without the intervention of a trustworthy third party to exchange the captured IoT data. It uses an efficient proxy re-encryption system, which provides the owner and the person existing in the smart contract to see the data. The experimental outcomes show that the proposed approach enhances the efficiency, security, privacy, and feasibility of the system when compared to other existing methods.

Cluster-based Ensemble Classification Approach for Anomaly Detection in the Internet of Things

2020 ◽  
Vol 10 (4) ◽  
pp. 594-604
Author(s):  
Mostafa Hosseini ◽  
Hamidreza Shayegh Brojeni
Keyword(s):  
Internet Of Things ◽  
Anomaly Detection ◽  
Smart Grids ◽  
False Positive Rate ◽  
Ensemble Classification ◽  
Misclassification Rate ◽  
The Internet ◽  
Classification Approach ◽  
Detection Techniques ◽  
The Internet Of Things

Background & Objective: The next generation of the internet where physical things or objects are going to interact with each other without human interventions is called the Internet of Things (IoT). Its presence can improve the quality of human lives in different domains and environments such as agriculture, smart homes, intelligent transportation systems, and smart grids. : In the lowest layer of the IoT architecture (i.e., the perception layer), there are a variety of sensors which are responsible for gathering data from their environment to provide service for customers. However, these collected data are not always accurate and may be infected with anomalies for some reasons such as limited sensor’s resources and environmental influences. : Accordingly, anomaly detection can be used as a preprocessing phase to prevent sending inappropriate data for the processing. Methods: Since distributed characteristic and its heterogeneous elements complicate the application of anomaly detection techniques, in this paper, a cluster-based ensemble classification approach has been presented. Results & Conclusion: Will possessing low complexity, the proposed method has high accuracy in detecting anomalies. This method has been tested on the data collected from sensors in the Intel Berkley research laboratory which is one of the free and available datasets in the domain of IoT. The results indicated that the proposed technique could achieve an accuracy of 99.9186%, a positive detection rate of 99.7459%, while reducing false positive rate and misclassification rate to 0.0025% and 0.0813% respectively.

scholarly journals Optimization and Simulation of Carsharing under the Internet of Things

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yuxuan Wang ◽  
Huixia Feng
Keyword(s):  
Internet Of Things ◽  
Mathematical Models ◽  
Traffic Congestion ◽  
Smart Grids ◽  
Mode Selection ◽  
Operation Mode ◽  
Smart Device ◽  
The Internet ◽  
Optimization And Simulation ◽  
The Internet Of Things

Internet of Things devices are popular in civilian and military applications, including smart device cities, smart grids, smart pipelines, and medical Internet of Things. Among them, carsharing supported by the Internet of Things is developing rapidly due to their advantages in environmental protection and reducing traffic congestion. The optimization of the carsharing system needs to consider the uncertainty of demand and the coupling relationship of multiple decision variables, which brings difficulties to the establishment of mathematical models and the design of efficient algorithms. Existing studies about carsharing optimization are mainly divided into four subproblems: the operation mode selection, vehicle type selection, demand analysis, or decision-making, rather than comprehensive consideration. This paper summarizes the four subproblems from the perspective of mathematical models, solving algorithms, and statistical methods and provides references for more comprehensive research in the future.

scholarly journals Fault management technology of power communication room based on the Internet of Things technology

2020 ◽  
Vol 185 ◽  
pp. 01030
Author(s):  
Song Xin ◽  
Hao Chenggang ◽  
Wang Yifei ◽  
Guo Bin ◽  
Zhang Xin
Keyword(s):  
Internet Of Things ◽  
Smart Grids ◽  
Fault Location ◽  
Fault Management ◽  
Active Management ◽  
The Internet ◽  
Stable Operation ◽  
Equipment Failures ◽  
Internet Of Things Technology ◽  
The Internet Of Things

With the continuous development of society, the construction of smart grids has gradually begun to be valued. Smart grids can liberate more labor and enable managers to manage the grid quickly and easily. The power communication network occupies an irreplaceable position in the smart grid. However, it is inevitable that various equipment failures will occur. Therefore, it is necessary to advance the time of fault handling through fault management, then reduce the fault harmfulness. In this paper, with the support of the Internet of Things technology, a monitoring system of the power communication room is constructed based on the configuration status and application environment of equipment, and an intelligent analysis method for fault location of the power communication room based on active detection is proposed. As a result, the reliable and stable operation of the power communication room can be guaranteed by using passive management and active management.

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