Kurum Yazarı "Gungor, Vehbi Cagri" Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed İçin Listeleme
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Big Data acquired by Internet of Things-enabled industrial multichannel wireless sensors networks for active monitoring and control in the smart grid Industry 4.0
Faheem, Muhammad; Fizza, Ghulam; Ashraf, Muhammad Waqar; Butt, Rizwan Aslam; Ngadi, Md. Asri; Gungor, Vehbi Cagri (ELSEVIERRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2021)Smart Grid Industry 4.0 (SGI4.0) defines a new paradigm to provide high-quality electricity at a low cost by reacting quickly and effectively to changing energy demands in the highly volatile global markets. However, in ... -
Cloud Computing for Smart Grid applications
Baktir, Selcuk; Gungor, Vehbi Cagri; Yigit, Melike (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 ... -
Cognitive Radio Networks for Smart Grid Communications Potential Applications, Protocols, and Research Challenges
Kogias, Dimitris; Tuna, Gurkan; Gungor, Vehbi Cagri (CRC PRESS-TAYLOR & FRANCIS GROUP6000 BROKEN SOUND PARKWAY NW, STE 300, BOCA RATON, FL 33487-2742 USA, 2016)Cognitive Radio Networks for Smart Grid Communications Potential Applications, Protocols, and Research Challenges -
Collecting smart meter data via public transportation buses
Bilgin, Bilal Erman; Baktir, Selcuk; Gungor, Vehbi Cagri (WILEY111 RIVER ST, HOBOKEN 07030-5774, NJ, 2016)With advances in technology, wireless sensor networks (WSNs) have found new applications and their popularity has increased dramatically. In several applications, WSNs have the potential to replace wired data communication ... -
Deep learning approaches for vehicle type classification with 3-D magnetic sensor
Kolukisa, Burak; Yildirim, Veli Can; Elmas, Bahadir; Ayyildiz, Cem; Gungor, Vehbi Cagri (ELSEVIER, 2022)In the Intelligent Transportation Systems, it is crucial to determine the type of vehicles to improve traffic management, increase human comfort, and enable future development of transport infrastructures. This paper presents ... -
A deep neural network approach with hyper-parameter optimization for vehicle type classification using 3-D magnetic sensor
Kolukisa, Burak; Yildirim, Veli Can; Ayyildiz, Cem; Gungor, Vehbi Cagri (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 ... -
EDHRP: Energy efficient event driven hybrid routing protocol for densely deployed wireless sensor networks
Faheem, Muhammad; Abbas, Muhammad Zahid; Tuna, Gurkan; Gungor, Vehbi Cagri (ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2015)Efficient management of energy resources is a challenging research area in Wireless Sensor Networks (WSNs). Recent studies have revealed that clustering is an efficient topology control approach for organizing a network ... -
An efficient network intrusion detection approach based on logistic regression model and parallel artificial bee colony algorithm
Kolukısa, Burak; Dedeturk, Bilge Kagan; Hacilar, Hilal; Gungor, Vehbi Cagri (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 ... -
Lifetime analysis of wireless sensor nodes in different smart grid environments
Eris, Cigdem; Saimler, Merve; Gungor, Vehbi Cagri; Fadel, Etimad; Akyildiz, Ian F (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 ... -
Machine learning approaches for underwater sensor network parameter prediction
Uyan, Osman Gokhan; Akbas, Ayhan; Gungor, Vehbi Cagri (ELSEVIER, 2023)Underwater Acoustic Sensor Networks (UASNs) have recently attracted scientists due to its wide range of real -world applications. However, there are design challenges in UASNs, such as limited network lifetime and low ... -
Networking and communications for smart cities special issue editorial
Theoleyre, Fabrice; Watteyne, Thomas; Bianchi, Giuseppe; Tuna, Gurkan; Gungor, Vehbi Cagri; Pang, Ai-Chun (ELSEVIER, 2015)Our society is facing an unprecedented massive urbanization. At the time of writing, 54% of the world’s population lives in urban areas (with an 82% peak in North America), opposed to only 30% in 1950. Reports [1] predict ... -
Next Generation Networks for Telecommunications Operators Providing Services to Transnational Smart Grid Operators
Tuna, Gurkan; Kiokes, George C.; Zountouridou, Erietta I.; Gungor, Vehbi Cagri (IEEE, 2015)Due to the networking expertise, services and technical support of telecommunications operators, Smart Grid (SG) operators prefer telecommunications operators for their communications needs instead of creating private ... -
A novel data collection mechanism for smart grids using public transportation buses
Bilgin, B. E.; Baktir, S.; Gungor, V. C. (ELSEVIERRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2016)In this study, we propose a novel solution for collecting smart meter data by merging Vehicular Ad-Hoc Networks (VANET) and smart grid communication technologies. In our proposed mechanism, Vehicular Ad Hoc Networks are ... -
On the interdependency between multi-channel scheduling and tree-based routing for WSNs in smart grid environments
Yigit, Melike; Incel, Ozlem Durmaz; Gungor, Vehbi Cagri (ELSEVIER, 2014)Field tests show that the link-quality of wireless links in different smart grid environments, such as outdoor substation, varies greatly both in space and time because of various factors, including multi-path, fading, ... -
Performance evaluation of cloud computing platforms using statistical methods
Atas, Gultekin; Gungor, Vehbi Cagri (PERGAMON-ELSEVIER SCIENCE LTD, 2014)Cloud computing is a very attractive research topic. Many studies have examined the infrastructure as a service and software as a service aspects of cloud computing; however, few studies have focused on platform as a ... -
Performance Evaluations of Next Generation Networks for Smart Grid Applications
Tuna, Gurkan; Kaya, Esra; Gulez, Kayhan; Kiokes, George); Gungor, Vehbi Cagri (IEEE, 2015)Smart Grid (SG) can be described as the concept of modernizing the traditional electrical grid. Through the addition of SG technologies traditional electrical grids become more flexible, robust and interactive, and are ... -
PI-controlled ANN-based Energy Consumption Forecasting for Smart Grids
Gezer, Gulsum; Tuna, Gurkan; Kogias, Dimitris; Gulez, Kayhan; Gungor, Vehbi Cagri; Filipe, J; Madani, K; Gusikhin, O; Sasiadek, J (IEEE, 2015)Although Smart Grid (SG) transformation brings many advantages to electric utilities, the longstanding challenge for all them is to supply electricity at the lowest cost. In addition, currently, the electric utilities must ... -
Quality-of-service differentiation in single-path and multi-path routing for wireless sensor network-based smart grid applications
Sahin, Dilan; Gungor, Vehbi Cagri; Kocak, Taskin; Tuna, Gurkan (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 ... -
A reliable and secure multi-path routing strategy for underwater acoustic sensor networks
Uyan, Osman Gokhan; Akbas, Ayhan; Gungor, Vehbi Cagri (ELSEVIER, 2022)Underwater Acoustic Sensor Networks (UASNs) have nowadays become an attractive topic in scientific studies and commercial applications. An important challenge in UASN’s design is the limited network lifetime and ... -
A review of on-device machine learning for IoT: An energy perspective
Tekin, Nazli; Aris, Ahmet; Acar, Abbas; Uluagac, Selcuk; Gungor, Vehbi Cagri (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, ...