Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/11

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Author: search.filters.author.Atakan, BarışScopus Q: search.filters.scopusQuartile.Q1

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  • Article
    Citation - WoS: 5
    Citation - Scopus: 7
    Signal Reconstruction in Diffusion-Based Molecular Communication
    (Wiley, 2019) Atakan, Barış; Güleç, Fatih
    Molecular communication (MC) is an important nanoscale communication paradigm, which is employed for the interconnection of the nanomachines (NMs) to form nanonetworks. A transmitter NM (TN) sends the information symbols by emitting molecules into the transmission medium and a receiver NM (RN) receives the information symbols by sensing the molecule concentration. In this paper, a model of how an RN measures and reconstructs the molecular signal is proposed. The signal around the RN is assumed to be a Gaussian random process instead of the less realistic deterministic approach. After the reconstructed signal is derived as a doubly stochastic poisson process, the distortion between the signal around the RN and the reconstructed signal is derived as a new performance parameter in MC systems. The derived distortion, which is a function of system parameters such as RN radius, sampling period, and the diffusion coefficient of the channel, is shown to be valid by employing random walk simulations. Then, it is shown that the original signal can be satisfactorily reconstructed with a sufficiently low level of distortion. Finally, optimum RN design parameters, namely, RN radius, sampling period, and sampling frequency, are derived by minimizing the signal distortion. The simulation results reveal that there is a trade-off among the RN design parameters which can be jointly set for a desired signal distortion.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 4
    On Exploiting Sampling Jitter in Vehicular Sensor Networks
    (Institute of Electrical and Electronics Engineers Inc., 2014) Atakan, Barış
    Vehicular 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: 19
    Citation - Scopus: 24
    Optimal Transmission Probability in Binary Molecular Communication
    (Institute of Electrical and Electronics Engineers Inc., 2013) Atakan, Barış
    Molecular 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.