Browsing by Author "Akcapinar, Ayca"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 6
    ARIMA-Based Traffic Forecasting for Quality of Service (QoS) Flow Routing in Sixth Generation (6G) Networks
    (Institute of Electrical and Electronics Engineers Inc., 2022) Ayca Akcapinar; Oyku Gurer; Volkan Rodoplu; Rodoplu, Volkan; Akcapinar, Ayca; Gurer, Oyku
    We develop a methodology for Quality of Service (QoS) flow routing in IoT networks targeted at improving the performance of QoS flow optimization. In contrast with the existing schemes the AutoRegressive Integrated Moving Average (ARIMA) model forecasts the Enhanced Mobil Broadband (eMBB) flow traffic periodically and a QoS optimization program makes reservations on the links for the predicted eMBB flows in advance in order to maximize the total end-to-end data rate from sources to destinations. To this end we design an algorithm that delays the transmission of QoS flows that have laxer latency constraints. We compare the performance of our algorithm against a benchmark QoS routing scheme that transmits the flows in an on-demand fashion. Our results show that our algorithm outperforms the reactive approach. This work holds the potential to impact the design of QoS routing in beyond Fifth Generation (5G) networks. © 2022 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Conference Object
    LEAN: A Multi-Cell Smart City Simulator for the Massive Internet of Things Medium Access Control Layer
    (Institute of Electrical and Electronics Engineers Inc., 2021) Ali Furkan Demirbas; Oyku Gurer; Zeynep Yurdasan; Ayca Akcapinar; Volkan Rodoplu; Demirbas, Ali Furkan; Yurdasan, Zeynep; Gurer, Oyku; Akcapinar, Ayca; Rodoplu, Volkan
    We develop a multi-cell smart city simulator called LEAN that is targeted at the development and testing of Medium Access Control (MAC) layer protocols for massive Internet of Things (mIoT). Our simulator supports any number of cells each of which is centered around an IoT gateway over any geographic area which is displayed on a Graphical User Interface (GUI). In addition to all of the static IoT devices that appear on the GUI our simulator keeps track of the associations of all mobile IoT devices across time and furnishes these associations to any back-end MAC protocol that is developed in the simulation environment. In contrast with general-purpose smart city simulators LEAN has relatively low time and space complexity in the number of IoT devices and is well-suited for quick testing of novel MAC protocols for massive IoT. © 2022 Elsevier B.V. All rights reserved.