- Energy Efficient Wireless Sensor Networks
- Smart Grid Security and Resilience
- Energy Harvesting in Wireless Networks
- Smart Grid Energy Management
- Underwater Vehicles and Communication Systems
- Power Line Communications and Noise
- Mobile Ad Hoc Networks
- Indoor and Outdoor Localization Technologies
- IoT and Edge/Fog Computing
- Robotics and Sensor-Based Localization
- Wireless Networks and Protocols
- Network Security and Intrusion Detection
- Imbalanced Data Classification Techniques
- Security in Wireless Sensor Networks
- IoT-based Smart Home Systems
- Opportunistic and Delay-Tolerant Networks
- Artificial Intelligence in Healthcare
- Microgrid Control and Optimization
- Innovative Energy Harvesting Technologies
- Advanced Malware Detection Techniques
- Distributed Control Multi-Agent Systems
- Water Quality Monitoring Technologies
- Customer churn and segmentation
- Anomaly Detection Techniques and Applications
- Advanced MIMO Systems Optimization
Abdullah Gül University
2015-2025
Turkcell (Turkey)
2024-2025
Bahçeşehir University
2009-2016
Georgia Institute of Technology
2005-2008
Eaton (United States)
2007-2008
For 100 years, there has been no change in the basic structure of electrical power grid. Experiences have shown that hierarchical, centrally controlled grid 20th Century is ill-suited to needs 21st Century. To address challenges existing grid, new concept smart emerged. The can be considered as a modern electric infrastructure for enhanced efficiency and reliability through automated control, high-power converters, communications infrastructure, sensing metering technologies, energy...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> In today's competitive industry marketplace, the companies face growing demands to improve process efficiencies, comply with environmental regulations, and meet corporate financial objectives. Given increasing age of many industrial systems dynamic manufacturing market, intelligent low-cost automation are required productivity efficiency such systems. The collaborative nature wireless sensor...
The collaborative and low-cost nature of wireless sensor networks (WSNs) brings significant advantages over traditional communication technologies used in today's electric power systems. Recently, WSNs have been widely recognized as a promising technology that can enhance various aspects systems, including generation, delivery, utilization, making them vital component the next-generation system, smart grid. However, harsh complex electric-power-system environments pose great challenges...
Information and communication technologies (ICT) represent a fundamental element in the growth performance of smart grids. A sophisticated, reliable fast infrastructure is, fact, necessary for connection among huge amount distributed elements, such as generators, substations, energy storage systems users, enabling real time exchange data information management system ensuring improvements terms efficiency, reliability, flexibility investment return all those involved grid: producers,...
Wireless sensor networks (WSNs) are envisioned to be an important enabling technology for smart grid (SG) due the low cost, ease of deployment, and versatility WSNs. Limited battery energy is tightest resource constraint on Transmission power control data packet size optimization powerful mechanisms prolonging network lifetime improving efficiency. Increasing transmission will reduce bit error rate (BER) some links, however, utilizing highest level lead inefficient use because links with...
In this paper, coordination and communication problems in wireless sensor actor networks (WSANs) are jointly addressed a unifying framework. A sensor-actor model is proposed based on an event-driven partitioning paradigm. Sensors partitioned into different sets, each set constituted by data-delivery tree associated with actor. The optimal solution for the strategy determined mathematical programming, distributed proposed. addition, new actor-actor problem introduced. formulated as task...
This paper identifies the synergies between wireless sensor networks (WSNs) and nonintrusive electrical-signal-based motor signature analysis proposes a scheme of applying WSNs in online remote energy monitoring fault diagnostics for industrial systems. The main scope is to provide system overview where nature enables its applications WSN architecture. Special considerations designing diagnostic methods such systems are discussed. also provides detailed analyses address real-world challenges...
The smart grid (SG) is envisioned as providing a communications network for the energy industry, similar to that which Internet now provides business and personal communications. SG offers new opportunities different kind of industries, such smart-meter vendors, electric utilities, telecom operators from all around world. This article deals with issues related homes (SHs) metering, are key elements in SG. It introduces players this field points out research challenges. Finally, pilot...
Wireless Sensor and Actor Networks (WSANs) are composed of a large number heterogeneous nodes called sensors actors. The collaborative operation enables the distributed sensing physical phenomenon, while role actors is to collect process sensor data perform appropriate actions.In this paper, coordination framework for WSANs addressed. A new sensor-actor model proposed, based on an event-driven clustering paradigm in which cluster formation triggered by event so that clusters created...
Wireless sensor and actor networks (WSANs) are characterized by the collective effort of heterogeneous nodes called sensors actors. Sensor collect information about physical world, while take action decisions perform appropriate actions upon environment. The collaborative operation actors brings significant advantages over traditional sensing, including improved accuracy, larger coverage area timely sensed phenomena. However, to realize these potential gains, there is a need for an efficient...
Electromagnetic interference, equipment noise, multi-path effects and obstructions in harsh smart grid environments make the quality-of-service (QoS) communication a challenging task for WSN-based applications. To address these challenges, cognitive based cross-layer framework has been proposed. The proposed exploits emerging radio technology to mitigate noisy congested spectrum bands, yielding reliable high capacity links wireless grids. meet QoS requirements of diverse applications, it...
Summary In recent years, wireless sensor networks (WSNs) have attracted the attention of both research community and industry, this has eventually lead to widespread use WSNs in various applications. The significant advancements advantages brought by also enabled rapid development underwater acoustic (UASNs). UASNs, addition deployment, determining locations nodes after they been deployed is important since it plays a critical role many Various localization techniques proposed for each one...
Recently, underwater acoustic sensor networks (UASNs) have been proposed to explore environments for scientific, commercial, and military purposes. However, long propagation delays, high transmission losses, packet drops, limited bandwidth in make realization of reliable energy-efficient communication a challenging task UASNs. To prolong the lifetime battery-limited UASNs, two critical factors (i.e., size power) play vital roles. At one hand, larger packets are vulnerable errors, while...
Quality-of-service (QoS) aware reliable data delivery is a challenging issue in underwater wireless sensor networks (UWSNs). This due to impairments of the acoustic transmission caused by excessive noise, extremely long propagation delays, high bit error rate, low bandwidth capacity, multipath effects, and interference. To address these challenges, meet commonly used UWSN performance indicators, overcome inefficiencies existing clustering-based routing schemes, novel QoS evolutionary cluster...