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Elif Tuğçe Ceran Arslan
E-mail
elifce@metu.edu.tr
Department
Department of Electrical and Electronics Engineering
ORCID
0000-0002-6617-130X
Scopus Author ID
56534191200
Web of Science Researcher ID
AAP-2454-2021
Publications
Theses Advised
Open Courses
Projects
Ensuring a Semantically Effective IoT Network Through Blockchain with Delayed Feedback
Gencay, Omer; Balci, Alperen; Ceran Arslan, Elif Tuğçe; Uysal, Elif (2024-01-01)
In this paper, we propose a delay-tolerant blockchain-enabled low-power wide area network. We consider the scenario of a set of information sources (e.g. sensors, IoT nodes) equipped with transceivers, accessing a common g...
Deep reinforcement learning aided Rate-Splitting for Interference Channels
Irkıçatal, Osman Nuri; Yüksel Turgut, Ayşe Melda; Ceran Arslan, Elif Tuğçe (2023-12-04)
Unbiased federated learning in energy harvesting error-prone channels
ÇAKIR, Zeynep; Ceran Arslan, Elif Tuğçe (2023-05-01)
Federated learning (FL) is a communication-efficient and privacy-preserving learning technique for collabo- rative training of machine learning models on vast amounts of data produced and stored locally on the distributed u...
Optimization of AoII and QAoII in Multi-User Links
Ayik, Muratcan; Ceran Arslan, Elif Tuğçe; Uysal, Elif (2023-01-01)
We consider a network with multiple sources and a base station that send time-sensitive information to remote clients. The Age of Incorrect Information (AoII) captures the freshness of the informative pieces of status upda...
Reinforcement Learning Based Adaptive Blocklength and MCS for Optimizing Age Violation Probability
Ozkaya, Aysenur; Topbas, Ahsen; Ceran Arslan, Elif Tuğçe (2023-01-01)
As a measure of the freshness of data, Age of Information (AoI) has become an essential performance metric in status update applications with stringent timeliness constraints. This study employs adaptive strategies to mini...
Reinforcement Learning for Minimizing Age of Information over Wireless Links
Ceran Arslan, Elif Tuğçe; Gündüz, Deniz; Gyorgy, Andras (Cambridge University Press, Cambridge (MA), USA , 2022-12-01)
In this chapter, we study the age of information (AoI) when status updates of an underlying process of interest, sampled and recorded by a source node, must be transmitted to one or more destination nodes over error-prone...
Kanal ve Enerji Duyarlı Çizelgeleme ile Federe Ögrenme
Cakir, Zeynep; Ceran Arslan, Elif Tuğçe (2022-08-29)
Bu calısmada, ortamdan enerji hasat edebilen .oksayıda cihazın, kanal durumuna ba˘glı olarak bir makine .˘grenmesimodelini e˘gitti˘gi federe .˘grenme modeli incelenmi.stir. Anaodak, hata olasılıklı kablosuz kanal üzerinde...
Kısa Paket İletimlerinde Adaptif Blok Uzunluğu Seçimi ile Bilgi Yaşı İhlali Olasılığının Azaltılması
Ozkaya, Aysenur; Ceran Arslan, Elif Tuğçe (2022-08-29)
Bilginin tazeliğinin bir ölçüsü olan Bilgi Yaşı (BY), küçük boyuttaki durum güncelleme paketlerinin eskimeden bir gözlemciye iletilmesi gerektiği sistemlerde önemli bir ölçüt haline gelmiştir. Bu çalışmadaki amaç, anlık bi...
Implementation and Evaluation of Age-Aware Downlink Scheduling Policies in Push-Based and Pull-Based Communication
Oğuz, Tahir Kerem; Ceran Arslan, Elif Tuğçe; Uysal, Elif; Girici, Tolga (2022-5-01)
As communication systems evolve to better cater to the needs of machine-type applications such as remote monitoring and networked control, advanced perspectives are required for the design of link layer protocols. The age ...
When to Pull Data for Minimum Age Penalty
Yavascan, Orhan T.; Ceran Arslan, Elif Tuğçe; Cakir, Zeynep; Uysal, Elif; Kaya, Onur (2021-10-18)
© 2021 IFIP.A communication receiver that wants to pull data from a remote sensor by exploiting wireless energy transfer is considered. The receiver has a long-term average energy budget for this operation, and its goal is...
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