Browsing by Author "Kuran, Mehmet Sukru"

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Citation - WoS: 3
Mol-Eye: A New Metric for the Performance Evaluation of a Molecular Signal
(IEEE, 2018) Turan, Meric; Kuran, Mehmet Sukru; Yilmaz, H. Birkan; Chae, Chan-Byoung; Tugcu, Tuna
Inspired by the eye diagram in classical radio frequency (RF) based communications, the MOL-Eye diagram is proposed for the performance evaluation of a molecular signal within the context of molecular communication. Utilizing various features of this diagram, three new metrics for the performance evaluation of a molecular signal, namely the maximum eye height, standard deviation of received molecules, and counting SNR (CSNR) are introduced. The applicability of these performance metrics in this domain is verified by comparing the performance of binary concentration shift keying (BCSK) and BCSK with consecutive power adjustment (BCSK-CPA) modulation techniques in a vessel-like environment with laminar flow. The results show that, in addition to classical performance metrics such as bit-error rate and channel capacity, these performance metrics can also be used to show the advantage of an efficient modulation technique over a simpler one.
Citation - WoS: 46
Citation - Scopus: 59
A Novel Pre-Equalization Method for Molecular Communication via Diffusion in Nanonetworks
(IEEE-Inst Electrical Electronics Engineers Inc, 2015) Tepekule, Burcu; Pusane, Ali E.; Kuran, Mehmet Sukru; Tugcu, Tuna
In this letter, a novel pre-equalization method in the context of molecular communication via diffusion (MCvD) is proposed. Our method is based on the emission of two types of messenger molecules (MMs) from the transmitter in order to mitigate the high intersymbol interference (ISI), which critically hinders the performance of any MCvD system. In this approach, the difference between the number of received molecules of each MM type is considered as the actual signal at the receiver side. We model the underlying diffusion channel, and conduct an analysis on the error performance of the proposed method. We compare the proposed method with other modulation and ISI mitigation techniques in the literature, such as concentration shift keying, molecular shift keying, molecular concentration shift keying, and minimum mean squared equalization. Simulation results show that, by tuning the delay value between the emissions of the two MM types and their respective molecule counts, the proposed pre-equalization method outperforms the aforementioned methods and reduces the bit error rate of the MCvD system significantly.
Citation - WoS: 169
Citation - Scopus: 212
A Smart Parking Lot Management System for Scheduling the Recharging of Electric Vehicles
(IEEE-Inst Electrical Electronics Engineers Inc, 2015) Kuran, Mehmet Sukru; Viana, Aline Carneiro; Iannone, Luigi; Kofman, Daniel; Mermoud, Gregory; Vasseur, Jean P.
In this paper, we propose a centralized electric vehicles (EVs) recharge scheduling system for parking lots using a realistic vehicular mobility/parking pattern focusing on individual parking lots. We consider two different types of EV based on their mobility/parking patterns: 1) regular EVs; and 2) irregular EVs. An extensive trace-based vehicular mobility model collected from the Canton of Zurich is used for the regular EVs, and a probabilistic pattern built on top of this trace is used for modeling the behavior of irregular EVs. To the extent of our knowledge, this is the first EV charging scheduling study in the literature that takes into account a realistic vehicular mobility pattern focusing on individual parking lots. We compare the performance of our proposed system with two well-known basic scheduling mechanisms, first come first serve and earliest deadline first, with regard to two objective functions: 1) maximizing the total parking lot revenue; and 2) maximizing the total number of EVs fulfilling their requirements. Comparison results show that our proposed system outperforms well-known basic scheduling mechanisms with regards to both objectives. Parking lots managing the recharging of a high number of EVs will greatly benefit from using such recharge scheduling systems in the context of smart cities.
"What if You Are a Medieval Monarch?": A Crusader Kings III Experience to Learn Medieval History
(de Gruyter Oldenbourg, 2022) Tozoglu, Ahmet Erdem; Kuran, Mehmet Sukru
This chapter is about the authors' experiences and observations on a blended world history course that combines classical lecture and discussion components of teaching with video game sessions. The students play strategy video games with a heavy historical focus. The course, named Playing with The Past, is designed to experiment on how to integrate video games on teaching history, especially in order to achieve a higher understanding of the contemporary social, political, economic, and technological context of a given era for different cultures and civilizations. This chapter presents the utilization of Crusader Kings, a renowned grand strategy game series, to teach medieval history, which constitutes an integral part of our course. It also examines how the game provides advantages for an immersive learning environment and how it fails to model medieval history at specific points. Our experiments and observations may be beneficial for designing a general world history course and any history course on specific periods, cultures, and nations that aims to utilize alternative tools to deliver a course.