A Systematic Literature Review on Military Software Defined Networks

Gkioulos, Vasileios; Gunleifsen, Håkon; Weldehawaryat, Goitom Kahsay

doi:10.3390/fi10090088

Cited by 20 publications

(10 citation statements)

References 134 publications

(151 reference statements)

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“…The proposed architecture exhibited minimal complexity in accordance with the number of orchestrations. Reference [21] reviewed SDN technologies and services with tools. It also presented an overview of tactical, ad hoc, military, and coalition networks.…”

Section: Related Workmentioning

confidence: 99%

Mobile Fog Computing by Using SDN/NFV on 5G Edge Nodes

Sreekanth¹,

Ahmed²,

Šarac³

et al. 2022

Computer Systems Science and Engineering

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Fog computing provides quality of service for cloud infrastructure. As the data computation intensifies, edge computing becomes difficult. Therefore, mobile fog computing is used for reducing traffic and the time for data computation in the network. In previous studies, software-defined networking (SDN) and network functions virtualization (NFV) were used separately in edge computing. Current industrial and academic research is tackling to integrate SDN and NFV in different environments to address the challenges in performance, reliability, and scalability. SDN/NFV is still in development. The traditional Internet of things (IoT) data analysis system is only based on a linear and time-variant system that needs an IoT data system with a high-precision model. This paper proposes a combined architecture of SDN and NFV on an edge node server for IoT devices to reduce the computational complexity in cloud-based fog computing. SDN provides a generalization structure of the forwarding plane, which is separated from the control plane. Meanwhile, NFV concentrates on virtualization by combining the forwarding model with virtual network functions (VNFs) as a single or chain of VNFs, which leads to interoperability and consistency. The orchestrator layer in the proposed software-defined NFV is responsible for handling real-time tasks by using an edge node server through the SDN controller via four actions: task creation, modification, operation, and completion. Our proposed architecture is simulated on the EstiNet simulator, and total time delay, reliability, and satisfaction are used as evaluation parameters. The simulation results are compared with the results of existing architectures, such as software-defined unified virtual monitoring function and ASTP, to analyze the performance of the proposed architecture. The analysis results indicate that our proposed architecture achieves better performance in terms of total time delay (1800 s for 200 IoT devices), reliability (90%), and satisfaction (90%).

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Section: Related Workmentioning

confidence: 99%

Mobile Fog Computing by Using SDN/NFV on 5G Edge Nodes

Sreekanth¹,

Ahmed²,

Šarac³

et al. 2022

Computer Systems Science and Engineering

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“…Our review is limited to works that consider networks which include mobile nodes in a mesh topology and does not include solutions for wireless mesh networks with static nodes or semi-static nodes (such as UAVs hovering over the same location). Two systematic review papers on the topic are [25] (which is however limited to Flying Ad hoc Networks (FANETs) and [26] (which considers only military Software-Defined networks of all kinds).…”

Section: Sdn For Mobile Ad Hoc Networkmentioning

confidence: 99%

Software-Defined Networking Meets Software-Defined Radio in Mobile ad hoc Networks: State of the Art and Future Directions

et al. 2022

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The aims of this survey article are to elaborate on cross-layer optimization, Software-Defined Networking (SDN) and Software-Defined Radio (SDR) as separate domains of wireless network design for which a unified view has not been adequately considered to date and present lessons learned, with a view towards the challenges associated with SDN-SDR interaction that would facilitate benefits in crosslayer optimization of mobile ad hoc networks (MANETs). We focus on MANETs because (i) they are still at the forefront of technology, and in some scenarios they are the only meaningful option for establishing communication; (ii) they expose the full potential and benefits of coexistence and interaction of SDN and SDR, in terms of optimizing key performance indicators. While SDN and SDR are mature technologies, their interaction and joint consideration have been largely overlooked. Current SDN approaches do not span the physical (PHY) and medium-access control (MAC) layers, but they rather concentrate on network-level routing and traffic flow optimization. As a result, PHY-and MAC-layer related parameters which notoriously affect key network performance metrics remain static or at best are adapted based on some heuristic or local approaches. On the other hand, the reach of SDR architectures is restricted to the PHY and MAC layers. We discuss the state of the art of cross-layer optimization, SDN and SDR, and current challenges associated with coexistence and interaction of SDN and SDR. Such an interaction would extend the span of SDN to PHY and MAC layers and lead to realizations of centralized approaches across all layers so as to control and optimize parameters, towards global network objectives. It would also create a bridge between centralized network control that is inherent in SDN and the distributed nature of MANETs, with the add-on features of flexible and fast PHY and MAC layer adaptation offered by SDR, for solid, autonomous and ultimately better network control implementations that span all layers, towards realizing and implementing the holy grail of real cross-layer optimization.INDEX TERMS Software-defined networking (SDN), software-defined radio (SDR), coexistence, mobile ad hoc networks (MANETs), cross-layer design and optimization.

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“…The first paper [1] provides a systematic literature review of the use of SDN technologies, along with the associated services and tools, in the broader area of tactile networks, coalition networks, ad-hoc networks, military networks, and/or mission-critical infrastructures.…”

Section: Contributionsmentioning

confidence: 99%

Software Defined Networking (SDN) and Network Function Virtualization (NFV)

Papavassiliou

2020

Future Internet

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The role of Software Defined Networking (SDN) and Network Function Virtualization (NFV) have been instrumental in realizing the transition and vision “from black boxes to a white box towards facilitating 5G network architectures”. Though significant research results and several deployments have occurred and realized over the last few years focusing on the NFV and SDN technologies, several issues—both of theoretical and practical importance—remain still open. Accordingly, the papers of this special issue are significant contributions samples within the general ecosystem highlighted above, ranging from SDN and NFV architectures and implementations, to SDN-NFV integration and orchestration approaches, while considering issues associated with optimization, network management and security aspects. In particular, a total of nine excellent articles (one review and eight original research articles) have been accepted, following a rigorous review process, and addressing many of the aforementioned challenges and beyond.

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A Systematic Literature Review on Military Software Defined Networks

Cited by 20 publications

References 134 publications

Mobile Fog Computing by Using SDN/NFV on 5G Edge Nodes

Mobile Fog Computing by Using SDN/NFV on 5G Edge Nodes

Software-Defined Networking Meets Software-Defined Radio in Mobile ad hoc Networks: State of the Art and Future Directions

Software Defined Networking (SDN) and Network Function Virtualization (NFV)

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