Special Issue "Intelligent Software-defined Networking (SDN) Technologies for Future Generation Networks"

Submission Deadline: 01 February 2021 (closed)
Guest Editors
Dr. Jehad Ali, Ajou University, South Korea.
Dr. Muhammad Sajjad Khan, Korea Polytechnic University, South Korea.
Dr. Khalil Khan, Pak-Austria Institute of Applied Science and Technology, Pakistan.
Dr. Rahim Khan, Abdul Wali Khan Univesity Mardan, Pakistan.

Summary

Software-Defined networking (SDN) dynamically and efficiently manage resources to provision diverse services leveraging controller intelligence and programmability. SDN enable the network systems to orchestrate and estimate the available resources and dynamically adapt to the environment for a maximize resource utilization.

Deep learning (DL) is becoming a successful way to boost the SDN controller intelligence as a promising machine learning solution. Machine learning and Artificial intelligence (AI) techniques provide effectiveness for adaptation in network communication. The controller trained with AI and Machine learning sophisticated algorithms can enhance the provision of End-to-End (E2E) Services, Security, and resources management.

This Special Issue look forward to state-of-the-art technologies for the SDN using machine learning techniques, covering new research results with a wide range of elements within the intelligent SDN technology for future generation networks.

Potential topics include but are not limited to the following:

• Low-latency SDN

• AI or Machine learning-based Software-defined networks

• Energy-efficient Software-defined Networks

• Load balancing in energy constrained environments using Software-defined networks

• AI solutions for enhancing availability of the control plan

• Controller placement problem optimization using game-theoretic and machine learning approaches

• Leveraging Software-defined Networks for 5G resource and mobility management

• E2E latency reduction in Software-defined networks

• Security and privacy for Software-defined networks

• Benchmarking Controllers performance

• Efficient Fault management leveraging AI for Software-defined networks

• Application of Software-defined networks in network slicing, Fog computing, Resource management, and edge computing

• SDN for mission-critical applications

• Other related issues.


Keywords
• Artificial intelligence
• Machine learning
• SDN
• Tactile internet
• 5G
• Interoperability
• Low latency

Published Papers
  • An Intent-Driven Closed-Loop Platform for 5G Network Service Orchestration
  • Abstract The scope of the 5G network is not only limited to the enhancements in the form of the quality of service (QoS), but it also includes a wide range of services with various requirements. Besides this, many approaches and platforms are under the umbrella of 5G to achieve the goals of end-to-end service provisioning. However, the management of multiple services over heterogeneous platforms is a complex task. Each platform and service have various requirements to be handled by domain experts. Still, if the next-generation network management is dependent on manual updates, it will become impossible to provide seamless service provisioning… More
  •   Views:291       Downloads:245        Download PDF

  • SDN Based DDos Mitigating Approach Using Traffic Entropy for IoT Network
  • Abstract The Internet of Things (IoT) has been widely adopted in various domains including smart cities, healthcare, smart factories, etc. In the last few years, the fitness industry has been reshaped by the introduction of smart fitness solutions for individuals as well as fitness gyms. The IoT fitness devices collect trainee data that is being used for various decision-making. However, it will face numerous security and privacy issues towards its realization. This work focuses on IoT security, especially DoS/DDoS attacks. In this paper, we have proposed a novel blockchain-enabled protocol (BEP) that uses the notion of a self-exposing node (SEN) approach… More
  •   Views:300       Downloads:280        Download PDF

  • Effectively Handling Network Congestion and Load Balancing in Software-Defined Networking
  • Abstract The concept of Software-Defined Networking (SDN) evolves to overcome the drawbacks of the traditional networks with Internet Protocol (I.P.) packets sending and packets handling. The SDN structure is one of the critical advantages of efficiently separating the data plane from the control plane to manage the network configurations and network management. Whenever there are multiple sending devices inside the SDN network, the OpenFlow switches are programmed to handle the limited number of requests for their interface. When the recommendations are exceeded from the specific threshold, the load on the switches also increases. This research article introduces a new approach named… More
  •   Views:370       Downloads:393        Download PDF

  • An Intelligent Forwarding Strategy in SDN-Enabled Named-Data IoV
  • Abstract Internet of Vehicles (IoV), a rapidly growing technology for efficient vehicular communication and it is shifting the trend of traditional Vehicular Ad Hoc Networking (VANET) towards itself. The centralized management of IoV endorses its uniqueness and suitability for the Intelligent Transportation System (ITS) safety applications. Named Data Networking (NDN) is an emerging internet paradigm that fulfills most of the expectations of IoV. Limitations of the current IP internet architecture are the main motivation behind NDN. Software-Defined Networking (SDN) is another emerging networking paradigm of technology that is highly capable of efficient management of overall networks and transforming complex networking architectures… More
  •   Views:420       Downloads:326        Download PDF

  • Towards a Dynamic Virtual IoT Network Based on User Requirements
  • Abstract The data being generated by the Internet of Things needs to be stored, monitored, and analyzed for maximum IoT resource utilization. Software Defined Networking has been extensively utilized to address issues such as heterogeneity and scalability. However, for small-scale IoT application, sometimes it is considered an inefficient approach. This paper proposes an alternate lightweight mechanism to the design and implementation of a dynamic virtual network based on user requirements. The key idea is to provide users a virtual interface that enables them to reconfigure the communication flow between the sensors and actuators at runtime. The throughput of the communication flow… More
  •   Views:573       Downloads:458        Download PDF

  • Mobility Management in Small Cell Cluster of Cellular Network
  • Abstract The installation of small cells in a 5G network extends the maximum coverage and provides high availability. However, this approach increases the handover overhead in the Core Network (CN) due to frequent handoffs. The variation of user density and movement inside a region of small cells also increases the handover overhead in CN. However, the present 5G system cannot reduce the handover overhead in CN under such circumstances because it relies on a traditionally rigid and complex hierarchical sequence for a handover procedure. Recently, Not Only Stack (NO Stack) architecture has been introduced for Radio Access Network (RAN) to reduce… More
  •   Views:626       Downloads:667        Download PDF

  • Q-Learning Based Routing Protocol for Congestion Avoidance
  • Abstract The end-to-end delay in a wired network is strongly dependent on congestion on intermediate nodes. Among lots of feasible approaches to avoid congestion efficiently, congestion-aware routing protocols tend to search for an uncongested path toward the destination through rule-based approaches in reactive/incident-driven and distributed methods. However, these previous approaches have a problem accommodating the changing network environments in autonomous and self-adaptive operations dynamically. To overcome this drawback, we present a new congestion-aware routing protocol based on a Q-learning algorithm in software-defined networks where logically centralized network operation enables intelligent control and management of network resources. In a proposed routing protocol,… More
  •   Views:908       Downloads:717        Download PDF

  • Kernel Search-Framework for Dynamic Controller Placement in Software-Defined Network
  • Abstract In software-defined networking (SDN) networks, unlike traditional networks, the control plane is located separately in a device or program. One of the most critical problems in these networks is a controller placement problem, which has a significant impact on the network’s overall performance. This paper attempts to provide a solution to this problem aiming to reduce the operational cost of the network and improve their survivability and load balancing. The researchers have proposed a suitable framework called kernel search introducing integer programming formulations to address the controller placement problem. It demonstrates through careful computational studies that the formulations can design… More
  •   Views:651       Downloads:616        Download PDF