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Journal articles on the topic 'Sdn-based'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Wafi, Ahmed Z., Ahmed M. Al-Salih, and Alharith A. Abdullah. "Building Flexible Drone Networks based on SDN." Webology 19, no. 1 (2022): 158–70. http://dx.doi.org/10.14704/web/v19i1/web19012.

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In the bygone years, Drone or also known as Unmanned Aerial Vehicle (UAV) technology has developed very quickly and has been vastly used in martial operations, medicinal rescue, ecological monitoring, and other fields. the programmability of Drone and self-leading are being the key point of future transportation and safety. Simultaneously, Software-Defined Networks (SDN) the upcoming widespread, trustworthy, and flexible networking for the future. The programmability and center control system of the SDN network It the most important features. that resource management and power-consuming is the

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2

Song Yang, Song Yang, Xiaoguang Zhang Xiaoguang Zhang, Lixia Xi Lixia Xi, and DongHe Zhao DongHe Zhao. "The network test tools based on SDN." Chinese Optics Letters 12, s1 (2014): S10602–310605. http://dx.doi.org/10.3788/col201412.s10602.

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3

Grammatikis, Panagiotis Radoglou, Panagiotis Sarigiannidis, Christos Dalamagkas, et al. "SDN-Based Resilient Smart Grid: The SDN-microSENSE Architecture." Digital 1, no. 4 (2021): 173–87. http://dx.doi.org/10.3390/digital1040013.

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The technological leap of smart technologies and the Internet of Things has advanced the conventional model of the electrical power and energy systems into a new digital era, widely known as the Smart Grid. The advent of Smart Grids provides multiple benefits, such as self-monitoring, self-healing and pervasive control. However, it also raises crucial cybersecurity and privacy concerns that can lead to devastating consequences, including cascading effects with other critical infrastructures or even fatal accidents. This paper introduces a novel architecture, which will increase the Smart Grid

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Alomari, Amirah, Shamala K. Subramaniam, Normalia Samian, Rohaya Latip, and Zuriati Zukarnain. "Resource Management in SDN-Based Cloud and SDN-Based Fog Computing: Taxonomy Study." Symmetry 13, no. 5 (2021): 734. http://dx.doi.org/10.3390/sym13050734.

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Software-defined networks (SDN) is an evolution in networking field where the data plane is separated from the control plane and all the controlling and management tasks are deployed in a centralized controller. Due to its features regarding ease management, it is emerged in other fields such as cloud and fog computing in order to manage asymmetric communication across nodes, thus improving the performance and reducing the power consumption. This study focused on research that were conducted in SDN-based clouds and SDN-based fogs. It overviewed the important contributions in SDN clouds in term

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Jaber, Ibrahim Naser, and Jawad Kadhim Ahmed. "Multicast routing strategy for SDN-cluster based MANET." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (2020): 4447–57. https://doi.org/10.11591/ijece.v10i5.pp4447-4457.

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The energy limitation and frequent movement of the mobile Ad hoc network (MANET) nodes (i.e., devices) make the routing process very difficult. The multicast routing problem is one of the NP-complete problems. Therefore, the need for a new power-aware approach to select an optimum multicast path with minimum power consumption that can enhance the performance and increase the lifetime of MANET has become urgent. Software defined network (SDN) is a new technique that can solve many problems of the traditional networks by dividing the architecture into data part and control part. This paper prese

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Yu, Yang, Yu Nan Wang, and Wei Yang. "Security Framework Based on SDN." Advanced Materials Research 989-994 (July 2014): 4690–93. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4690.

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With the growing demand for information, it has a strategic importance for the future of sustainable development how to create a safe and robust network system to ensure the security of important information. Intrusion detection technology can proactively react against intrusion behavior and adjust its strategies in time. So it provides an effective means for network security to minimize or avoid loss when network system is attacked. It is an important part of network security system. This article first explains the current framework and the working principle of SDN. Then it explains the exist

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Um, Tai-Won, Gyu Myoung Lee, and Jinsul Kim. "SDN-Based Active Content Networking." International Journal of Distributed Sensor Networks 12, no. 1 (2016): 1603239. http://dx.doi.org/10.1155/2016/1603239.

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8

Liu, Zihao. "ML-based SDN performance prediction." Applied and Computational Engineering 29, no. 1 (2023): 57–67. http://dx.doi.org/10.54254/2755-2721/29/20230803.

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Software-defined networking (SDN), a new type of network architecture with the advantages of programmability and centralized management, has become a promising solution for managing and optimizing network traffic in modern data centers. However, designing efficient SDN controllers and applications requires a deep understanding of their network performance characteristics. In this work, we implement a machine learning-based method for SDN performance prediction. Our method uses supervised learning to build a training model based on a set of publicly available real network traffic datasets and t

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9

Shavan, Askar, Aziz Qadir Glena, and A. Rashid Tarik. "SDN Based 5G VANET: A Review." International Journal of Science and Business 5, no. 6 (2021): 148–62. https://doi.org/10.5281/zenodo.5221874.

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<strong>Abstract</strong> After 1G, 2G, 3G, and 4G technologies, 5G is a modern wireless system. 5G provides for the development of a modern form of network which connects virtually everyone and everything including computers, items, vehicles, and smartphones. VANETs marked as a critical infrastructure which can offer a wide range of facilities, including traffic control, accident prevention, and travel ease and comfort. VANETs are now being suggested as a primary enabler of the future fifth generation system, when combined with SDN. Using SDN-Based 5G VANETs Provide low latency, high bandwidt

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Hicham, Magri, Noureddine Abghour, and Mohammed Ouzzif. "5G mobile networks based on SDN concepts." International Journal of Engineering & Technology 7, no. 4 (2018): 2231. http://dx.doi.org/10.14419/ijet.v7i2.18.12194.

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With The rapid growth of mobile networks data and the emergence of the new services and applications, Mobile operators should provide a several solutions to cope with the challenges of the next 5G mobile networks and to reduce costs. For these reasons, SDN was proposed to be one of the key technology trends that will facilitate the required architectural agility needed in the next 5G mobile networks.Software Defined Networking (SDN) is the highly promising technology to provide innovation and enforce the main drivers in 5G mobile networks such as flexibility, suability, service–oriented manage

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11

de Souza, Felipe Rodrigo, Charles Christian Miers, Adriano Fiorese, Marcos Dias de Assunção, and Guilherme Piegas Koslovski. "QVIA-SDN: Towards QoS-Aware Virtual Infrastructure Allocation on SDN-based Clouds." Journal of Grid Computing 17, no. 3 (2019): 447–72. http://dx.doi.org/10.1007/s10723-019-09479-x.

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12

Shavan, Askar, Hassan Husain Baydaa, and A. Rashid Tarik. "SDN Based Fog Computing: A Review." International Journal of Science and Business 5, no. 6 (2021): 117–30. https://doi.org/10.5281/zenodo.5221688.

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Fog Computing (FC) is a system that connects cloud computing (CC) with the Internet of Things (IoT). It contributes to easier data transfer between cloud and IoT servers as it makes them closer to each other. FC effectively replaces the services, such as applications and information, at or near the cloud. This limits the bandwidth consumption, decreases delay and facilitates maximum network reliability since the data must not be transmitted to its intended destination or travel long distances. While Software Defined Networking (SDN) is a network engineering technique that permits network

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13

Kaur, H., N. Singh, and L. Kaur. "SECURITY EVALUATION FOR SDN BASED NETWORKS." Advances in Mathematics: Scientific Journal 9, no. 6 (2020): 4067–75. http://dx.doi.org/10.37418/amsj.9.6.88.

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14

Alzahrani, Bander, and Nikos Fotiou. "Securing SDN-Based IoT Group Communication." Future Internet 13, no. 8 (2021): 207. http://dx.doi.org/10.3390/fi13080207.

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IoT group communication allows users to control multiple IoT devices simultaneously. A convenient method for implementing this communication paradigm is by leveraging software-defined networking (SDN) and allowing IoT endpoints to “advertise” the resources that can be accessed through group communication. In this paper, we propose a solution for securing this process by preventing IoT endpoints from advertising “fake” resources. We consider group communication using the constrained application protocol (CoAP), and we leverage Web of Things (WoT) Thing Description (TD) to enable resources’ adve

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15

ZUO, Qing-Yun, Ming CHEN, Guang-Song ZHAO, Chang-You XING, Guo-Min ZHANG, and Pei-Cheng JIANG. "Research on OpenFlow-Based SDN Technologies." Journal of Software 24, no. 5 (2013): 1078–97. http://dx.doi.org/10.3724/sp.j.1001.2013.04390.

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16

Haiyan, Ma, Yan Jinyao, Panagiotis Georgopoulos, and Bernhard Plattner. "Towards SDN based queuing delay estimation." China Communications 13, no. 3 (2016): 27–36. http://dx.doi.org/10.1109/cc.2016.7445500.

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Luengo, Eduardo, Shahram Shah Heydari, and Khalil El-Khatib. "SDN-based wireless user management system." Telecommunication Systems 65, no. 4 (2017): 755–69. http://dx.doi.org/10.1007/s11235-016-0264-1.

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18

Shieh, Chin-Shiuh, Jhih-Ying Yan, and Hao-Xiang Gu. "SDN-Based Management Framework for IoT." International Journal of Computer Theory and Engineering 11, no. 1 (2019): 6–10. http://dx.doi.org/10.7763/ijcte.2019.v11.1231.

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19

Mishra, Shailendra. "SDN-Based Secure Architecture for IoT." International Journal of Knowledge and Systems Science 11, no. 4 (2020): 1–16. http://dx.doi.org/10.4018/ijkss.2020100101.

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Internet of things (IoT) means connecting things through the internet. The growing market for IoT also attracts malicious individuals trying to gain access to the marketplace. Security issues are among the most significant worries in companies that rely on the cloud of things to do business. SDN-based architecture has improved the security of IoT networks. The centralized controller is responsible for managing the critical network's operations, and growing the network size increases the network load in the controller. Controllers in SDN-based architecture are still facing security challenges s

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20

Shu, Yong'an. "Heterogeneous Networking Architecture Based on SDN." Chinese Journal of Electronics 26, no. 1 (2017): 166–71. http://dx.doi.org/10.1049/cje.2016.10.023.

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21

Gilani, Syed Mushhad M., Wenqiang Jin, Tang Hong, Guofeng Zhao, and Chuan Xu. "SDN-based Handover in Future WLAN." International Journal of Future Generation Communication and Networking 9, no. 12 (2016): 139–54. http://dx.doi.org/10.14257/ijfgcn.2016.9.12.13.

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22

Yurekten, Ozgur, and Mehmet Demirci. "SDN-based cyber defense: A survey." Future Generation Computer Systems 115 (February 2021): 126–49. http://dx.doi.org/10.1016/j.future.2020.09.006.

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23

Putri, Francisca Prabasari Winanti, Henny Dewi Koeswanti, and Sri Giarti. "Perbedaan Model Problem Based Learning Dan Project Based Learning Terhadap Hasil Belajar Siswa Sekolah Dasar." EDUKATIF : JURNAL ILMU PENDIDIKAN 3, no. 2 (2021): 496–504. http://dx.doi.org/10.31004/edukatif.v3i2.356.

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Problem based learning dan project based learning merupakan model pembelajaran yang mampu membangkitkan potensi peserta didik dalam menggunakan kemampuan berpikir, sehingga dapat memecahkan permasalahan yang dihadapi. Penelitian ini bertujuan untuk mengetahui perbedaan antara model problem based learning dan project based learning ditinjau dari hasil belajar tema 7 siswa kelas IV SDN Kecamatan Tingkir. Teknik pengambilan sampel menggunakan jenis probability sampling design dengan teknik mengundi. Sampel pada penelitian adalah siswa kelas IV SDN Gendongan-01 (23 siswa), SDN Gendongan-03 (23 sis

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24

D, Akash. "Securing IoT Devices Through SDN-Based Access Control." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29504.

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The Software-Defined Networking (SDN) in a Linux environment is demonstrated in our approach. We set up a 40-node network using basic Tcl commands. The main objective is to allow users to select the beginning and finishing points of a dynamic path. This demonstrates how SDN can adjust to evolving network circumstances. This shortens wait times and speeds up data transfer, demonstrating that SDN may increase Linux efficiency. The central component of this new technology called "SDN-Controller" that is considered to bring about great changes in computer networking, is the software defined networ

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25

Sarica, Alper Kaan, and Pelin Angin. "Explainable Security in SDN-Based IoT Networks." Sensors 20, no. 24 (2020): 7326. http://dx.doi.org/10.3390/s20247326.

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The significant advances in wireless networks in the past decade have made a variety of Internet of Things (IoT) use cases possible, greatly facilitating many operations in our daily lives. IoT is only expected to grow with 5G and beyond networks, which will primarily rely on software-defined networking (SDN) and network functions virtualization for achieving the promised quality of service. The prevalence of IoT and the large attack surface that it has created calls for SDN-based intelligent security solutions that achieve real-time, automated intrusion detection and mitigation. In this paper

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26

Leiter, Ákos, Mohamad Saleh Salah, László Pap, and László Bokor. "Survey on PMIPv6-based Mobility Management Architectures for Software-Defined Networking." Infocommunications journal 14, no. 2 (2022): 2–18. http://dx.doi.org/10.36244/icj.2022.2.1.

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Software-Defined Networking (SDN) has changed the network landscape. Meanwhile, IP-based mobility management still evolves, and SDN affects it dramatically. Integrating Proxy Mobile IPv6 (PMIPv6) – a network-based mobility management protocol – with the SDN paradigm has created several promising approaches. This paper will present an extensive survey on the joint research area of PMIPv6 and SDN mobility management by detailing the available SDN-integrated network-based techniques and architectures that intend to accelerate handover and mitigate service disruption of mobility events in software

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27

H Mohammed, Sarah, and Ammar D Jasim. "Evaluation of Quality of Service in FatTree Topology Based on SDN." International Journal of Scientific Engineering and Research 7, no. 4 (2019): 63–66. https://doi.org/10.70729/ijser18798.

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Moinudeen, Shahul Hamead Haja. "A Consensus-based Traffic Prediction for Time Series Data in SDN." Indian Journal Of Science And Technology 17, no. 34 (2024): 3488–95. http://dx.doi.org/10.17485/ijst/v17i34.2061.

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Objective: This research proposes a methodology for improving real-time traffic prediction by constructing dataset from the live traffic in Software-Defined Networks (SDNs). Methods: This work applies time-series based machine learning models such as XGBoost Regressor, LSTM, and Seasonal ARIMA, on the collected and preprocessed traffic data from SDN switches. Findings: Simulation shows that the percentage of error parameters that depict accuracy and goodness of fit for traffic predictions are still weak and needs improvement, as these predictions have the potential to compose new policies for

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29

Jenny, R. Sherine, and N. Sugirtham. "SDN-Based Security for Smart Devices Against Denial of Service Attacks." Indian Journal Of Science And Technology 16, no. 3 (2023): 181–89. http://dx.doi.org/10.17485/ijst/v16i3.1960.

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Chen, Yanhong, Peng Zhang, and Shuhua Zhou. "Study on SDN Technology Based on OpenFlow and Its Application Prospect." ITM Web of Conferences 25 (2019): 01017. http://dx.doi.org/10.1051/itmconf/20192501017.

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Openflow-based SDN separates the control plane of the network from the data plane of the switch and router, providing a new idea for the future development of the Internet. This paper starts with the connotation of OpenFlow and SDN, analyzes the key technologies of SDN, and prospects the application prospect of SDN.

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Jawad, Sara Sadiq, Dheyaa Jasim Kadhim, and Yusmadi Yah Bt Jusoh. "Insight Thoughts for Intelligent Traffic Management-Based SDN." Journal of Engineering 31, no. 7 (2025): 1–34. https://doi.org/10.31026/j.eng.2025.07.01.

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The trend towards studying traffic management in software-defined networks (SDN) is increasing widely due to its great importance in enhancing the efficiency of networks and their abilities to adapt to the increasing demands on data and modern applications. What increases the importance of these studies is the integration of artificial intelligence (AI) technologies, which in turn provide intelligent analysis and response capabilities that contribute to improving quality of service (QoS), avoiding congestion, and achieving balanced load distribution across the network. Intelligent management i

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32

Li, Yunchun, and Guodong Wang. "SDN-Based Switch Implementation on Network Processors." Communications and Network 05, no. 03 (2013): 434–37. http://dx.doi.org/10.4236/cn.2013.53b2080.

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33

Jin, Li, Guoan Zhang, Hao Zhu, and Wei Duan. "SDN-Based Survivability Analysis for V2I Communications." Sensors 20, no. 17 (2020): 4678. http://dx.doi.org/10.3390/s20174678.

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In vehicle-to-infrastructure (V2I) communications, various failures in the dynamic movement pose serious link interruptions. To study the continuous service quality for the V2I network when this issue happens, this paper proposes a survivability analysis and establishes the communication architecture for software-defined network (SDN)-based V2I communications. With the controllable advantages of SDN centralized management, the multi-path transmission control protocol is used to seamlessly switch the transmission information between the V2I links of each vehicle node. Specifically, according to

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34

Yu, Tao, Yuchen Zhang, Diyue Chen, Hongyan Cui, and Jilong Wang. "Routing loop audit mechanism based on SDN." China Communications 16, no. 7 (2019): 96–108. http://dx.doi.org/10.23919/jcc.2019.07.008.

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35

Wang, Li. "A Traffic Scheduling Method Based on SDN." Mathematical Problems in Engineering 2022 (April 30, 2022): 1–7. http://dx.doi.org/10.1155/2022/1819202.

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The rise of big data has brought severe challenges to data storage, which also means that computing resources and storage resources have become centralized. In the past, business data could end up after being processed locally or at the secondary node. Now, all data must be uploaded to each data center for unified processing. Data collection also requires users to access data center services and then send them back, which undoubtedly increases the pressure on the backbone network. This also means that the annual private line cost of the enterprise will increase with the growth of network traff

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Polanco, Oscar, and Fabio G. Guerrero. "Virtualised Environment for Learning SDN-based Networking." IETE Journal of Education 61, no. 2 (2020): 90–100. http://dx.doi.org/10.1080/09747338.2020.1838337.

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37

Tian, Yang, Weiwei Chen, and Chin-Tau Lea. "An SDN-Based Traffic Matrix Estimation Framework." IEEE Transactions on Network and Service Management 15, no. 4 (2018): 1435–45. http://dx.doi.org/10.1109/tnsm.2018.2867998.

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38

Du, Xiaodong, Ming-Zhong Wang, Xiaoping Zhang, and Liehuang Zhu. "Traffic-based Malicious Switch Detection in SDN." International Journal of Security and Its Applications 8, no. 5 (2014): 119–30. http://dx.doi.org/10.14257/ijsia.2014.8.5.12.

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Yan, Jinyao, Hailong Zhang, Qianjun Shuai, Bo Liu, and Xiao Guo. "HiQoS: An SDN-based multipath QoS solution." China Communications 12, no. 5 (2015): 123–33. http://dx.doi.org/10.1109/cc.2015.7112035.

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Liu, Jiaqiang, Yong Li, and Depeng Jin. "SDN-based live VM migration across datacenters." ACM SIGCOMM Computer Communication Review 44, no. 4 (2015): 583–84. http://dx.doi.org/10.1145/2740070.2631431.

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Mun, BoYeong, Sungl Cho, Shimin SUN, et al. "SDN based Mobility Management in IoT Networks." Journal of KIISE 45, no. 7 (2018): 733–43. http://dx.doi.org/10.5626/jok.2018.45.7.733.

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Li, Tong, Jinqiang Chen, and Hongyong Fu. "Application Scenarios based on SDN: An Overview." Journal of Physics: Conference Series 1187, no. 5 (2019): 052067. http://dx.doi.org/10.1088/1742-6596/1187/5/052067.

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Hatami, Rashid, and Hossein Bahramgiri. "Fast SDN Updates Using Tree-Based Architecture." International Journal of Communication Networks and Distributed Systems 25, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijcnds.2020.10028906.

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Hatami, Rashid, and Hossein Bahramgiri. "Fast SDN updates using tree-based architecture." International Journal of Communication Networks and Distributed Systems 25, no. 3 (2020): 333. http://dx.doi.org/10.1504/ijcnds.2020.109566.

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Zhao, Yang, Lei Wang, Xue Chen, and Futao Yang. "Bulk Restoration for SDN-Based Transport Network." Scientific Programming 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/1938312.

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We propose a bulk restoration scheme for software defined networking- (SDN-) based transport network. To enhance the network survivability and improve the throughput, we allow disrupted flows to be recovered synchronously in dynamic order. In addition backup paths are scheduled globally by applying the principles of load balance. We model the bulk restoration problem using a mixed integer linear programming (MILP) formulation. Then, a heuristic algorithm is devised. The proposed algorithm is verified by simulation and the results are analyzed comparing with sequential restoration schemes.

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Tomovic, Slavica, Milica Pejanovic-Djurisic, and Igor Radusinovic. "SDN Based Mobile Networks: Concepts and Benefits." Wireless Personal Communications 78, no. 3 (2014): 1629–44. http://dx.doi.org/10.1007/s11277-014-1909-6.

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Chen, Qingjun, Shouqian Shi, Xin Li, Chen Qian, and Sheng Zhong. "SDN-Based Privacy Preserving Cross Domain Routing." IEEE Transactions on Dependable and Secure Computing 16, no. 6 (2019): 930–43. http://dx.doi.org/10.1109/tdsc.2018.2811807.

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48

Mohammadi, Ramin, Sedat Akleylek, and Ali Ghaffari. "SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm." PeerJ Computer Science 9 (July 10, 2023): e1424. http://dx.doi.org/10.7717/peerj-cs.1424.

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The Internet of Things (IoT) includes billions of different devices and various applications that generate a huge amount of data. Due to inherent resource limitations, reliable and robust data transmission for a huge number of heterogenous devices is one of the most critical issues for IoT. Therefore, cluster-based data transmission is appropriate for IoT applications as it promotes network lifetime and scalability. On the other hand, Software Defined Network (SDN) architecture improves flexibility and makes the IoT respond appropriately to the heterogeneity. This article proposes an SDN-based

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Pratama, I. Putu Agus Eka. "Design and Implementation of SDN IP Based on Open Network Operating System and Border Gateway Protocol." Bulletin of Computer Science and Electrical Engineering 2, no. 2 (2021): 56–66. http://dx.doi.org/10.25008/bcsee.v2i2.1145.

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The development of computer network technology in the form of Software Defined Networking (SDN), provides many facilities for users to be able to develop network control applications, which can separate the data plane function from the control plane. The existence of this separation on routers and switches makes it easy for developers to centrally develop software and devices according to what is needed by users. However, there were obstacles to implementing SDN on IP networks in a short time. For this reason, it is necessary to implement SDN in stages by adding SDN to the existing IP network

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Mayilsamy, Jayaprakash, and Devi Priya Rangasamy. "Enhanced Routing Schedule - Imbalanced Classification Algorithm for IOT based Software Defined Networks." International Academic Journal of Science and Engineering 8, no. 1 (2021): 01–09. http://dx.doi.org/10.9756/iajse/v8i1/iajse0801.

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Route scheduling optimization is important in SDN network. The SDN network needs the best solution for route optimization. Limited networking of software is the most interesting development in this field as it is important to provide a fast and reliable routing path based on its need. The IoT supports software defined applications interface in the overall networks. The SDN is recommended by enhancing the SDN architecture's benefits in improving research network quality. SDN network information exchange is one of the most important factor. It is important to plan the information accordingly and

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