Browsing by Author "Gungor, V. Cagri"
Now showing items 1-19 of 19
-
Analysis of Battery-Powered Sensor Node Lifetime for Smart Grid Applications
Eris, Cigdem; Gungor, V. Cagri; Boluk, Pinar Sarisaray (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2016)Wireless Sensor Networks (WSNs) enable smart grids where sensor nodes monitor and control the important parameters of power grid components. However, energy-aware communication protocols should be developed to extend network ... -
Analyzing lifetime of energy harvesting underwater wireless sensor nodes
Erdem, H. Emre; Gungor, V. Cagri (WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2019)Underwater Wireless Sensor Networks (UWSNs) are utilized to monitor underwater environments that pose many challenges to researchers. One of the key complications of UWSNs is the difficulty of changing node batteries after ... -
Analyzing lifetime of energy harvesting wireless multimedia sensor nodes in industrial environments
Tekin, Nazli; Erdem, H. Emre; Gungor, V. Cagri (ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 2018)Recently, there has been a great demand for multimedia communication using Wireless Multimedia Sensor Networks (WMSNs) in industrial environments thanks to their low cost, flexibility, and rapid deployment. However, WMSNs ... -
Channel-aware routing and priority-aware multi-channel scheduling for WSN-based smart grid applications
Yigit, Melike; Gungor, V. Cagri; Fadel, Etimad; Nassef, Laila; Akkari, Nadine; Akyildiz, Ian F. (ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD24-28 OVAL RD, LONDON NW1 7DX, ENGLAND, 2016)Wireless Sensor Networks (WSNs) are one of the most promising solutions for smart grid applications due to advantages, such as their low-cost, different functionalities, and successful adoption to smart grid environments. ... -
Lifetime Analysis of Energy Harvesting Underwater Wireless Sensor Nodes
Erdem, H. Emre; Gungor, V. Cagri (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)The application of Wireless Sensor Networks (WSNs) in underwater environments poses various challenges. One of the most important problems is the limited lifetime of underwater sensor nodes. Considering how challenging and ... -
Lifetime Analysis of Error Control Schemes on Wireless Sensor Networks in Industrial Environments
Tekin, Nazli; Gungor, V. Cagri (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2019)Due to the harsh channel conditions of the industrial environment, the data transmission over wireless channel suffers from erroneous packets. The energy consumption of error control schemes is of vital importance for ... -
Lifetime Analysis of Underwater Wireless Networks Concerning Privacy with Energy Harvesting and Compressive Sensing
Uyan, O. Gokhan; Gungor, V. Cagri (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2019)Underwater sensor networks (UWSN) are a division of classical wireless sensor networks (WSN), which are designed to accomplish both military and civil operations, such as invasion detection and underwater life monitoring. ... -
Mobile Sensor Networks: Theory, Control, Communication, and Computation Issues
Gungor, V. Cagri; Gulez, Kayhan; Kawabata, Kuniaki; Tas, Nazif Cihan; Tuna, Gurkan (HINDAWI PUBLISHING CORPORATION, 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA, 2013)[Özet Yok] -
A new efficient error control algorithm for wireless sensor networks in smart grid
Yigit, Melike; Boluk, Pinar Sarisaray; Gungor, V. Cagri (ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 2019)Error detection and correction is an important issue in the design and maintenance of a smart grid communication network to provide reliable communication between sender and receiver. Various error-control coding techniques ... -
Operator User Management System Based on the TMF615 Standard
Yigit, Melike; Macit, Muhammed; Gungor, V. Cagri; Kocak, Taskin; Ozhan, Oguz (SPRINGERONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES, 2016)Multi-vendor telecommunications networks in a typical service provider environment are managed using multiple proprietary user management systems (UMS), supplied by the operational support system (OSS) vendors. The management ... -
Performance Analysis of Different Modulation Schemes for Underwater Acoustic Communications
Bahcebasi, Akif; Gungor, V. Cagri; Tuna, Gurkan (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)There is an increasing interest in using Underwater Acoustic Sensor Networks (UASNs) for various oceanographic applications, such as pollution monitoring, seismic monitoring, environmental data collection, offshore ... -
Physical layer authentication for extending battery life
Ayyildiz, Cem; Cetin, Ramazan; Khodzhaev, Zulfidin; Kocak, Taskin; Soyak, Ece Gelal; Gungor, V. Cagri; Kurt, Gunes Karabulut (ELSEVIERRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2021)Increasing population density in cities, and the increasing demand for efficiency in resource usage call for architectures enabling smart cities, such as the Internet of Things (IoT). In most such scenarios, the data ... -
QoS-Aware Downlink Scheduling Algorithm for LTE Networks: A Case Study on Edge Users
Gungor, V. Cagri; Uyan, O. Gokhan (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)4G/LTE (Long Term Evolution) is the state of the art wireless mobile broadband technology. It makes use of the OFDM technology to offer high speed and provides the system resources both in time and frequency domain. A ... -
QoS-Aware MAC protocols utilizing sectored antenna for wireless sensor networks-based smart grid applications
Yigit, Melike; Incel, Ozlem Durmaz; Baktir, Selcuk; Gungor, V. Cagri (WILEY111 RIVER ST, HOBOKEN 07030-5774, NJ, 2017)Wireless sensor networks (WSNs) are the most commonly deployed technology in smart grid environments owing to their advantages including low cost and successful adoption in various harsh smart grid environments. However, ... -
Structure health monitoring using wireless sensor networks on structural elements
Ayyildiz, Cem; Erdem, H. Emre; Dirikgil, Tamer; Dugenci, Oguz; Kocak, Taskin; Altun, Fatih; Gungor, V. Cagri (ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 01.01.2019)This paper presents a system that monitors the health of structural elements in Reinforced Concrete (RC), concrete elements and/or masonry buildings and warn the authorities in case of physical damage formation. Such rapid ... -
Structure Health Monitoring Using Wireless Sensor Networks on Structural Elements (vol 82, pg 68, 2019)
Ayyildiz, Cem; Erdem, H. Emre; Dirikgil, Tamer; Dugenci, Oguz; Kocak, Taskin; Altun, Fatih; Gungor, V. Cagri (ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2020)This paper presents a system that monitors the health of structural elements in Reinforced Concrete (RC), concrete elements and/or masonry buildings and warn the authorities in case of physical damage formation. Such rapid ... -
A survey on deployment techniques, localization algorithms, and research challenges for underwater acoustic sensor networks
Tuna, Gurkan; Gungor, V. Cagri (WILEY111 RIVER ST, HOBOKEN 07030-5774, NJvv, 2017)In recent years, wireless sensor networks (WSNs) have attracted the attention of both the research community and the industry, and this has eventually lead to the widespread use of WSNs in various applications. The significant ... -
A survey on information security threats and solutions for Machine to Machine (M2M) communications
Tuna, Gurkan; Kogias, Dimitrios G.; Gungor, V. Cagri; Gezer, Cengiz; Taskin, Erhan; Ayday, Erman (ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA, 2017)Although Machine to Machine (M2M) networks allow the development of new promising applications, the restricted resources of machines and devices in the M2M networks bring several constraints including energy, bandwidth, ... -
A survey on packet size optimization for terrestrial, underwater, underground, and body area sensor networks
Yigit, Melike; Yildiz, H. Ugur; Kurt, Sinan; Tavli, Bulent; Gungor, V. Cagri (WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2018)Packet size optimization is a critical issue in wireless sensor networks (WSNs) for improving many performance metrics (eg, network lifetime, delay, throughput, and reliability). In WSNs, longer packets may experience ...
