Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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

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Institution Author: search.filters.institutionAuthor.Özbek, BernaSubject: search.filters.subject.Energy efficiency

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  • Conference Object
    Energy-Efficient Resource Allocation for Multiuser Ofdm Wireless Networks
    (Institute of Electrical and Electronics Engineers Inc., 2015) Durbaş, Şükrü; Özbek, Berna
    In the last decades, the energy consumption in wireless communication systems is increasing and becoming a major problem for cellular operators. As a result of that, solutions to increase energy-efficiency (EE) in wireless networks are becoming more popular. Therefore, the resource allocation algorithms that provides EE for multiuser OFDM based wireless networks is presented in this paper. Then, the conventional spectrum-efficient (SE) designs are compared with EE based schemes and EE characteristics of the system has been analyzed. The simulation results show the advantages of EE scheme especially on high channel-gain-to-noise ratio and low number of users cases.
  • 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.