Priority enabled content based forwarding in fog computing via SDN
Yazarlar (5)
Yasin İnağ
Muş Alparslan Üniversitesi, Türkiye
Dr. Öğr. Üyesi Metehan GÜZEL Kafkas Üniversitesi, Türkiye
Doç. Dr. Feyza Yıldırım Okay Gazi Üniversitesi, Türkiye
Prof. Dr. Suat Özdemir Hacettepe Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Turkish Journal of Electrical Engineering and Computer Sciences (Q4)
Dergi ISSN 1300-0632 Dergi Bilgileri (2022)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili Türkçe Basım Tarihi 01-2022
Kabul Tarihi Yayınlanma Tarihi 01-05-2022
Cilt / Sayı / Sayfa 30 / 4 / 1439–1459 DOI 10.55730/1300-0632.3858
Makale Linki http://dx.doi.org/10.55730/1300-0632.3858
UAK Araştırma Alanları
Bilgisayar Sistem Yapısı ve Donanımı Yapay Zeka Yapay Öğrenme
Özet
As the number of Internet of Things (IoT) applications increases, an efficient transmitting of the data generated by these applications to a centralized cloud server can be a challenging issue. This paper aims to facilitate transmission by utilizing fog computing (FC) and software defined networking (SDN) technologies. To this end, it proposes two novel content based forwarding (CBF) models for IoT networks. The first model takes advantage of FC to reduce transmission and computational delay. Based on the first model, the second model makes use of the prioritization concept to address the timely delivery of critical data while ensuring the data rate and delay requirements. Extensive simulations are conducted to evaluate the proposed models and uncover their impact on throughput, delay, and loss rate metrics. According to the results, the proposed models ensure efficient transmission and low computational delay. In addition, the second model has the ability to transmit critical data more effectively.
Anahtar Kelimeler
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Priority enabled content based forwarding in fog computing via SDN

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