Javascript must be enabled to continue!
Security with Wireless Sensor Networks in Smart Grids: A Review
View through CrossRef
Smart Grids are an area where next-generation technologies, applications, architectures, and approaches are utilized. These grids involve equipping and managing electrical systems with information and communication technologies. Equipping and managing electrical systems with information and communication technologies, developing data-driven solutions, and integrating them with Internet of Things (IoT) applications are among the significant applications of Smart Grids. As dynamic systems, Smart Grids embody symmetrical principles in their utilization of next-generation technologies and approaches. The symmetrical integration of Wireless Sensor Networks (WSNs) and energy harvesting techniques not only enhances the resilience and reliability of Smart Grids but also ensures a balanced and harmonized energy management system. WSNs carry the potential to enhance various aspects of Smart Grids by offering energy efficiency, reliability, and cost-effective solutions. These networks find applications in various domains including power generation, distribution, monitoring, control management, measurement, demand response, pricing, fault detection, and power automation. Smart Grids hold a position among critical infrastructures, and without ensuring their cybersecurity, they can result in national security vulnerabilities, disruption of public order, loss of life, or significant economic damage. Therefore, developing security approaches against cyberattacks in Smart Grids is of paramount importance. This study examines the literature on “Cybersecurity with WSN in Smart Grids,” presenting a systematic review of applications, challenges, and standards. Our goal is to demonstrate how we can enhance cybersecurity in Smart Grids with research collected from various sources. In line with this goal, recommendations for future research in this field are provided, taking into account symmetrical principles.
Title: Security with Wireless Sensor Networks in Smart Grids: A Review
Description:
Smart Grids are an area where next-generation technologies, applications, architectures, and approaches are utilized.
These grids involve equipping and managing electrical systems with information and communication technologies.
Equipping and managing electrical systems with information and communication technologies, developing data-driven solutions, and integrating them with Internet of Things (IoT) applications are among the significant applications of Smart Grids.
As dynamic systems, Smart Grids embody symmetrical principles in their utilization of next-generation technologies and approaches.
The symmetrical integration of Wireless Sensor Networks (WSNs) and energy harvesting techniques not only enhances the resilience and reliability of Smart Grids but also ensures a balanced and harmonized energy management system.
WSNs carry the potential to enhance various aspects of Smart Grids by offering energy efficiency, reliability, and cost-effective solutions.
These networks find applications in various domains including power generation, distribution, monitoring, control management, measurement, demand response, pricing, fault detection, and power automation.
Smart Grids hold a position among critical infrastructures, and without ensuring their cybersecurity, they can result in national security vulnerabilities, disruption of public order, loss of life, or significant economic damage.
Therefore, developing security approaches against cyberattacks in Smart Grids is of paramount importance.
This study examines the literature on “Cybersecurity with WSN in Smart Grids,” presenting a systematic review of applications, challenges, and standards.
Our goal is to demonstrate how we can enhance cybersecurity in Smart Grids with research collected from various sources.
In line with this goal, recommendations for future research in this field are provided, taking into account symmetrical principles.
Related Results
Dynamic stochastic modeling for inertial sensors
Dynamic stochastic modeling for inertial sensors
Es ampliamente conocido que los modelos de error para sensores inerciales tienen dos componentes: El primero es un componente determinista que normalmente es calibrado por el fabri...
Cross-layer security solution for secure communication of sensorsin Wireless Sensor Networks
Cross-layer security solution for secure communication of sensorsin Wireless Sensor Networks
Safe path-finding is extremely necessary for multihop wireless systems such as Wireless Sensor Networks. Multihop wireless systems are more unprotected to safety outbreaks as ass...
Routing Security in Wireless Sensor Networks
Routing Security in Wireless Sensor Networks
Since routing is a fundamental operation in all types of networks, ensuring routing security is a necessary requirement to guarantee the success of routing operation. Securing rout...
Design of multi-energy-space-based energy-efficient algorithm in novel software-defined wireless sensor networks
Design of multi-energy-space-based energy-efficient algorithm in novel software-defined wireless sensor networks
Energy efficiency has always been a hot issue in wireless sensor networks. A lot of energy-efficient algorithms have been proposed to reduce energy consumption in traditional wirel...
Wireless Networks of Smart Multisensors and Biosensor Devices for Express Diagnostics of the State of Grape and Fruit-Berry Crops and Quality Control of Winemaking Products
Wireless Networks of Smart Multisensors and Biosensor Devices for Express Diagnostics of the State of Grape and Fruit-Berry Crops and Quality Control of Winemaking Products
The application of information and wireless technologies, multisensor and biosensor devices, as well as sensor networks based on them to control the parameters of technological pro...
A Survey Non-Terrestrial Networks in 6G/ 7G Smart Network for 2035+ and Beyond
A Survey Non-Terrestrial Networks in 6G/ 7G Smart Network for 2035+ and Beyond
3GPP TR 38.821, “Solutions for NR to support non-terrestrial networks (NTN),” Release 16, Jan. 2020. [Online]. Available: https://www.3gpp.org/.
P. K. Chowdhury, M. Atiquzzaman, W....
Implementation of Faulty Sensor Detection Mechanism using Data Correlation of Multivariate Sensor Readings in Smart Agriculture
Implementation of Faulty Sensor Detection Mechanism using Data Correlation of Multivariate Sensor Readings in Smart Agriculture
Through sensor networks, agriculture can be connected to the IoT, which allows us to create connections among agronomists, farmers, and crops regardless of their geographical diffe...
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Abstract
The Physical Activity Guidelines for Americans (Guidelines) advises older adults to be as active as possible. Yet, despite the well documented benefits of physical a...

