Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Subject: search.filters.subject.Traffic management

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  • Conference Object
    Making Accident Data Compatible With Its-Based Traffic Management: Turkish Case
    (Intelligent Transport Systems, 2010) Duvarcı, Yavuz; Geçer Sargın, Feral; Kumova, Bora İsmail; Çınar, Ali Kemal; Selvi, Ömer
    One of the most important reasons of the high rate of accidents would largely lend itself to ineffective data collection and evaluation process since the necessary information cannot be obtained effectively from the traffic accidents reports (TAR). The discord and dealing with non-relevant data may appear at four levels: (1) Country and Cultural, (2) Institutional and organizational, (3) Data collection, (4) Data analysis and Evaluation. The case findings are consistent with this knowledge put forward in the literature; there is a transparency problem in coordination between the institutions as well as the inefficient TAR data, which is open to manipulation; the problem of under-reporting and inappropriate data storage prevails before the false statistical evaluation methods. The old-fashioned data management structure causes incompatibility with the novel technologies, avoiding timely interventions in reducing accidents and alleviating the fatalities. Transmission of the data to the interest agencies for evaluation and effective operation of the ITS-based systems should be considered. The problem areas were explored through diagnoses at institutional, data collection, and evaluation steps and the solutions were determined accordingly for the case city of Izmir.
  • Conference Object
    Citation - WoS: 14
    Citation - Scopus: 22
    Energy Aware Routing and Traffic Management for Software Defined Networks
    (Institute of Electrical and Electronics Engineers Inc., 2016) Özbek, Berna; Aydoğmuş, Yiğitcan; Ulaş, Aydın; Görkemli, Burak; Ulusoy, Kazım
    Since traffic diversity and volume increase with growing popularity of mobile applications, there is the strong need to manage the traffic carried by networks. Software defined networks can simplify network management while enabling new services by employing traffic management including routing whose goal is to maximize the given utility while satisfying capacity requirements. In this paper, we propose an efficient routing algorithm to minimize the cost based on power consumption determined by the number of active OpenFlow switches in a software defined network while satisfying throughput requirements of all flows according to constraints on link capacities in the network. We evaluate the performance of the proposed algorithm based on the number of active switches for different network topologies with various scenarios.
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 19
    New Concepts for Traffic, Resource and Mobility Management in Software-Defined Mobile Networks
    (Institute of Electrical and Electronics Engineers Inc., 2016) Ahmad, Ijaz; Liyanage, Madhusanka; Namal, Suneth; Ylianttila, Mika; Gurtov, Andrei; Faigl, Zoltan; Bokor, Laszlo; Perez, Oscar Lopez; Itzazelaia, Mikel Uriarte; Eckert, Marcus; Bauschert, Thomas; Saygun, Ece; Akyıldız, Hasan Anıl; Özbek, Berna; Ulaş, Aydın
    The evolution of mobile telecommunication networks is accompanied by new demands for the performance, portability, elasticity, and energy efficiency of network functions. Network Function Virtualization (NFV), Software Defined Networking (SDN), and cloud service technologies are claimed to be able to provide most of the capabilities. However, great leap forward will only be achieved if resource, traffic, and mobility management methods of mobile network services can efficiently utilize these technologies. This paper conceptualizes the future requirements of mobile networks and proposes new concepts and solutions in the form of Software-Defined Mobile Networks (SDMN) leveraging SDN, NFV and cloud technologies. We evaluate the proposed solutions through testbed implementations and simulations. The results reveal that our proposed SDMN enhancements supports heterogeneity in wireless networks with performance improvements through programmable interfaces and centralized control.