Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Permanent URI for this collectionhttps://hdl.handle.net/11147/11
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Article Citation - WoS: 14Citation - Scopus: 15A Droplet-Based Signal Reconstruction Approach To Channel Modeling in Molecular Communication(Institute of Electrical and Electronics Engineers Inc., 2021) Güleç, Fatih; Atakan, BarışIn this paper, a novel droplet-based signal reconstruction (SR) approach to channel modeling, which considers liquid droplets as information carriers instead of molecules in the molecular communication (MC) channel, is proposed for practical sprayer-based macroscale MC systems. These practical MC systems are significant, since they can be used in order to investigate airborne pathogen transmission with biological sensors due to the similar mechanisms of sneezing/coughing and sprayer. Our proposed approach takes a two-phase flow which is generated by the interaction of droplets in liquid phase with air molecules in gas phase into account. Two-phase flow is combined with the SR of the receiver (RX) to propose a channel model. The SR part of the model quantifies how the accuracy of the sensed molecular signal in its reception volume depends on the sensitivity response of the RX and the adhesion/detachment process of droplets. The proposed channel model is validated by employing experimental data. IEEEConference Object Citation - WoS: 4Citation - Scopus: 3On Exploiting Spatial Correlation for Energy Harvesting Wireless Sensor Networks(Institute of Electrical and Electronics Engineers Inc., 2017) Al-Qamaji, Ali; Atakan, BarışWireless Sensor Network (WSN) is a set of inexpensive densely deployed sensor nodes with limited functionalities and scarcity in energies. The observations of sensors are forwarded directly to the Base Station (BS). In densely deployed sensors, sensing data are likely to be highly correlated in space domain, which produces unfavorable redundant readings and wasting in energy. In this paper, we propose an Event Distortion-Based Node Selection (EDNS) algorithm which exploits spatial correlation for reducing inessential sensor nodes that have correlated readings for improving Energy-Efficiency (EE) with acceptable distortion level. Furthermore, we derive a theoretical framework of distortion function for single-hop communication model to observe the advantages from energy harvesting to the accuracy level. Furthermore, the trade-off between energy consumption and distortion level is investigated.Article Citation - WoS: 6Citation - Scopus: 10Performance Analysis of Diffusion-Based Molecular Communications With Memory(Institute of Electrical and Electronics Engineers Inc., 2016) Galmes, Sebastia; Atakan, BarışIn this paper, the comprehensive delay and performance analyses of the $M$-ary molecular communications with memory are presented. By taking into account any level of channel memory, the type-based and concentration-based modulation schemes are introduced and analyzed. In the type-based modulation, information symbols are encoded through different molecule types. In the concentration-based modulation, various concentration levels of one molecule type are used to encode information symbols. For both modulation schemes, the delay distributions of the molecular symbols are derived, and then, the symbol error probabilities are developed. The given distributions and the error probability expressions are validated through extensive simulation experiments. After showing that the derived expressions are valid, the performance of the modulation schemes is evaluated. The performance evaluations reveal that by properly selecting the parameters such as slot time and number of emitted molecules, the performance can be improved in both type and concentration-based molecular communication as the channel memory is increased. Furthermore, it is shown that the type-based molecular communication outperforms the concentration-based molecular communication.Article Citation - WoS: 3Citation - Scopus: 4On Exploiting Sampling Jitter in Vehicular Sensor Networks(Institute of Electrical and Electronics Engineers Inc., 2014) Atakan, BarışVehicular sensor networks (VSNs) are composed of vehicular sensor nodes that collaboratively sample, communicate, and reconstruct the event signal at the sink node. Samples of event signals are subjected to jitter based on the propagation speed of signal and locations of vehicular sensors. In this paper, a theoretical analysis is presented to understand the effects and how to exploit the jitter in the sensed event signal for energy-efficient and reliable communication in VSNs. Results reveal that sampling jitter can be advantageous and can be exploited in developing adaptive communication techniques, which can provide significant energy conservation while maintaining reliability in VSNs.Article Citation - WoS: 19Citation - Scopus: 24Optimal Transmission Probability in Binary Molecular Communication(Institute of Electrical and Electronics Engineers Inc., 2013) Atakan, BarışMolecular communication (MC) is a promising nanoscale communication paradigm that enables nanomachines to share information by using messenger mo\-le\-cu\-les. In this paper, an expression for the achievable rate in MC is first given. Then, using this expression, an optimal transmission probability is developed to maximize the MC rate. Numerical results show that the MC rate is time-dependent and the molecules freely wandering in the medium negatively affect the MC performance. However, the proposed optimal transmission probability is shown to maximize the MC rate.