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Toplam kayıt 19, listelenen: 11-19
Cloud Computing for Smart Grid applications
(ELSEVIER, 2014)
A reliable and efficient communications system is required for the robust, affordable and secure supply of power through Smart Grids (SG). Computational requirements for Smart Grid applications can be met by utilizing the ...
Quality-of-service differentiation in single-path and multi-path routing for wireless sensor network-based smart grid applications
(ELSEVIER, 2014)
Electrical grid is one of the most important infrastructure of the modern nation. However,
power grid has been aged over 100 years and prone to major failures. The imbalance
between power demand and supply, the equipment ...
Lifetime analysis of wireless sensor nodes in different smart grid environments
(SPRINGER, 2014)
Wireless sensor networks (WSNs) can help the
realization of low-cost power grid automation systems
where multi-functional sensor nodes can be used to monitor the critical parameters of smart grid components. The
WSN-based ...
Wireless sensor network-based communication for cooperative simultaneous localization and mapping
(PERGAMON-ELSEVIER SCIENCE LTD, 2015)
This paper presents a novel approach of using a Wireless Sensor Network (WSN) as the communication means for Multi-Robot, Cooperative, Simultaneous Localization and Mapping (CSLAM) applications investigating the associated ...
A review of on-device machine learning for IoT: An energy perspective
(ELSEVIER, 2024)
Recently, there has been a substantial interest in on-device Machine Learning (ML) models to provide intelligence for the Internet of Things (IoT) applications such as image classification, human activity recognition, ...
Performance analysis of Hamming code for WSN-based smart grid applications
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, ATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA, 00000, TURKEY, 2018)
Many methods have been employed to detect, compare, and correct errors to increase communication reliability and efficiency in wireless sensor networks (WSNs). However, to the best of our knowledge, no existing study has ...
An efficient network intrusion detection approach based on logistic regression model and parallel artificial bee colony algorithm
(ELSEVIER, 2024)
In recent years, the widespread use of the Internet has created many issues, especially in the area of cybersecurity. It is critical to detect intrusions in network traffic, and researchers have developed network intrusion ...
A deep neural network approach with hyper-parameter optimization for vehicle type classification using 3-D magnetic sensor
(ELSEVIER, 2023)
The identification of vehicle types plays a critical role in Intelligent Transportation Systems. In this study, battery-operated, easy-to-install, low-cost 3-D magnetic traffic sensors have been developed for vehicle type ...
Energy consumption of on-device machine learning models for IoT intrusion detection
(ELSEVIER, 2023)
Recently, Smart Home Systems (SHSs) have gained enormous popularity with the rapid
development of the Internet of Things (IoT) technologies. Besides offering many tangible
benefits, SHSs are vulnerable to attacks that ...