scholarly journals Battery Draining Attack and Defense against Power Saving Wireless LAN Devices

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2043
Author(s):  
Il-Gu Lee ◽  
Kyungmin Go ◽  
Jung Hoon Lee
Keyword(s):  
Smart Grids ◽  
Wireless Lan ◽  
Smart Cities ◽  
Power Saving ◽  
Smart Devices ◽  
Critical Element ◽  
Security Technology ◽  
Security Vulnerabilities ◽  
Improve Energy Efficiency ◽  
Power Saving Mechanism

Wi-Fi technology connects sensor-based things that operate with small batteries, and allows them to access the Internet from anywhere at any time and perform networking. It has become a critical element in many areas of daily life and industry, including smart homes, smart factories, smart grids, and smart cities. The Wi-Fi-based Internet of things is gradually expanding its range of uses from new industries to areas that are intimately connected to people’s lives, safety, and property. Wi-Fi technology has undergone a 20-year standardization process and continues to evolve to improve transmission speeds and service quality. Simultaneously, it has also been strengthening power-saving technology and security technology to improve energy efficiency and security while maintaining backward compatibility with past standards. This study analyzed the security vulnerabilities of the Wi-Fi power-saving mechanism used in smart devices and experimentally proved the feasibility of a battery draining attack (BDA) on commercial smartphones. The results of the experiment showed that when a battery draining attack was performed on power-saving Wi-Fi, 14 times the amount of energy was consumed compared with when a battery draining attack was not performed. This study analyzed the security vulnerabilities of the power-saving mechanism and discusses countermeasures.

scholarly journals A Widespread Review of Smart Grids Towards Smart Cities

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4484 ◽  
Author(s):  
Mina Farmanbar ◽  
Kiyan Parham ◽  
Øystein Arild ◽  
Chunming Rong
Keyword(s):  
Smart Grids ◽  
Fossil Fuels ◽  
Smart Cities ◽  
Smart Devices ◽  
Renewable Energy Resources ◽  
Grid Systems ◽  
Smart Water ◽  
Ecological Problems ◽  
Storage Technologies ◽  
Near Future

Nowadays, the importance of energy management and optimization by means of smart devices has arisen as an important issue. On the other hand, the intelligent application of smart devices stands as a key element in establishing smart cities, which have been suggested as the solution to complicated future urbanization difficulties in coming years. Considering the scarcity of traditional fossil fuels in the near future, besides their ecological problems the new smart grids have demonstrated the potential to merge the non-renewable and renewable energy resources into each other leading to the reduction of environmental problems and optimizing operating costs. The current paper clarifies the importance of smart grids in launching smart cities by reviewing the advancement of micro/nano grids, applications of renewable energies, energy-storage technologies, smart water grids in smart cities. Additionally a review of the major European smart city projects has been carried out. These will offer a wider vision for researchers in the operation, monitoring, control and audit of smart-grid systems.

scholarly journals Advances in the Application of Machine Learning Techniques for Power System Analytics: A Survey

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4776
Author(s):  
Seyed Mahdi Miraftabzadeh ◽  
Michela Longo ◽  
Federica Foiadelli ◽  
Marco Pasetti ◽  
Raul Igual
Keyword(s):  
Machine Learning ◽  
Power Systems ◽  
Smart Grids ◽  
State Of The Art ◽  
Smart Cities ◽  
Power Grids ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
New Research ◽  
Traditional Approaches

The recent advances in computing technologies and the increasing availability of large amounts of data in smart grids and smart cities are generating new research opportunities in the application of Machine Learning (ML) for improving the observability and efficiency of modern power grids. However, as the number and diversity of ML techniques increase, questions arise about their performance and applicability, and on the most suitable ML method depending on the specific application. Trying to answer these questions, this manuscript presents a systematic review of the state-of-the-art studies implementing ML techniques in the context of power systems, with a specific focus on the analysis of power flows, power quality, photovoltaic systems, intelligent transportation, and load forecasting. The survey investigates, for each of the selected topics, the most recent and promising ML techniques proposed by the literature, by highlighting their main characteristics and relevant results. The review revealed that, when compared to traditional approaches, ML algorithms can handle massive quantities of data with high dimensionality, by allowing the identification of hidden characteristics of (even) complex systems. In particular, even though very different techniques can be used for each application, hybrid models generally show better performances when compared to single ML-based models.

Improving IEEE 802.11 power saving mechanism

2007 ◽  
Vol 14 (3) ◽  
pp. 375-391 ◽  
Author(s):  
Eun-Sun Jung ◽  
Nitin H. Vaidya
Keyword(s):  
Ieee 802.11 ◽  
Power Saving ◽  
Power Saving Mechanism

scholarly journals Configurations of Aromatic Networks for Power Distribution System

2020 ◽  
Vol 12 (10) ◽  
pp. 4317
Author(s):  
K. Prakash ◽  
F. R. Islam ◽  
K. A. Mamun ◽  
H. R. Pota
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Smart Grids ◽  
Sustainable Energy ◽  
Distribution Network ◽  
Geographical Location ◽  
Distribution Networks ◽  
Self Healing ◽  
Power Distribution System ◽  
Improve Energy Efficiency

A distribution network is one of the main parts of a power system that distributes power to customers. While there are various types of power distribution networks, a recently introduced novel structure of an aromatic network could begin a new era in the distribution levels of power systems and designs of microgrids or smart grids. In order to minimize blackout periods during natural disasters and provide sustainable energy, improve energy efficiency and maintain stability of a distribution network, it is essential to configure/reconfigure the network topology based on its geographical location and power demand, and also important to realize its self-healing function. In this paper, a strategy for reconfiguring aromatic networks based on structures of natural aromatic molecules is explained. Various network structures are designed, and simulations have been conducted to justify the performance of each configuration. It is found that an aromatic network does not need to be fixed in a specific configuration (i.e., a DDT structure), which provides flexibility in designing networks and demonstrates that the successful use of such structures will be a perfect solution for both distribution networks and microgrid systems in providing sustainable energy to the end users.

scholarly journals Smart grids, prosumers and energy management within a smart city integrated system

2020 ◽  
Vol 14 (1) ◽  
pp. 1121-1134
Author(s):  
Marco Savastano ◽  
Marta-Christina Suciu ◽  
Irina Gorelova ◽  
Gheorghe-Alexandru Stativă
Keyword(s):  
Smart Grids ◽  
Smart Cities ◽  
Electricity Consumption ◽  
Energy Transition ◽  
Integrated System ◽  
Renewable Sources ◽  
Electricity Grid ◽  
New Type ◽  
Alternative Sources ◽  
Energy Prosumers

AbstractDue to a significant increase in electricity consumption globally, governments have to look and to identify better, more efficient and effective alternatives and sustainable energy sources to meet this high demand. This becomes more and more important in the context of implementing modern approaches such as those that might be applied in cases of smart cities and cultural and creative communities. Electricity can be produced based on conventional sources, but also on an emergent use of renewable sources. The electricity grid is usually designed as unidirectional. We consider that in case of smart cities and creative-innovative communities there is a need to implement mostly new smart grids that are bidirectional. This may allow and support the emergency of a new type of electricity user, called “prosumers”, who produces electricity from renewable sources, next uses & shares them smartly within the smart grid and finally stores them. Globally, photovoltaic energy prosumers are considered one of the most important actors in the energy transition and seem to be ready to introduce significant amounts of electricity within the grid. We anticipate that people living in households in smart cities and communities among most regions of the world will tend in the future to improve their self-consumption from the production of smart energy. This paper supports the idea that using mostly electricity from renewable alternative sources, especially solar, can be also developed with the help of households acting within smart cities and communities. The paper will also present briefly an overview of the scientific literature dedicated to this topic. We will also provide further interesting insights through a number of case studies representing good practices regarding prosumers in Italy and Romania.

Traffic-prediction-assisted dynamic power saving mechanism for IEEE 802.16e wireless MANs

2013 ◽  
Vol 20 (6) ◽  
pp. 1552-1558
Author(s):  
Shao-fei Lu ◽  
Jian-xin Wang ◽  
Hui-gui Rong ◽  
Zheng Qin
Keyword(s):  
Power Saving ◽  
Traffic Prediction ◽  
Ieee 802.16E ◽  
Dynamic Power ◽  
Power Saving Mechanism
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