An SDN-Based Space-Air-Ground Integrated Network Architecture and Controller Deployment Strategy

Qu, Hua; Xu, Xiaoyun; Zhao, Jihong; Yue, Pengcheng

doi:10.1109/ccet50901.2020.9213109

Cited by 20 publications

(17 citation statements)

References 12 publications

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“…This is a static deployment, with no consideration for topo dynamics. Qu in [31] and Qi et al in [32] aimed to minimize the propagation delay of switches and controllers. The former propose an SDN-enabled SAGIN architecture, and optimize the K-means algorithm to solve the controller deployment problem of the dynamic topology network composed of UAV in the air-based domain, hereinafter referred to as n-k-means.…”

Section: In Terms Of Multi-controller Deployment Strategiesmentioning

confidence: 99%

“…In this contrast experiment, OCLDS [26] and n-k-means [31] were selected as the contrast experiments; the former divides the load into four states, with a switch migration strategy, and the latter has no migration strategy. Each time slice requires an algorithm to be run to redistribute the relationship between the switch and the controller.…”

Section: Compare the Load Variances Of Different Algorithms With Timementioning

confidence: 99%

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Multi-Controller Deployment in SDN-Enabled 6G Space–Air–Ground Integrated Network

Liao

Chen

et al. 2022

Remote Sensing

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The space–air–ground Integrated Network (SAGIN) is considered to be a significant framework for realizing the vision of “6G intelligent connection of all things”. The birth of 6G SAGIN also brings many problems, such as ultra-dense dense networks, leading to a decrease in the efficiency of traditional flat network management, and traditional satellite networking solidified network functions, etc. Therefore, combining the 6G SAGIN network with the software-defined network (SDN) is an excellent solution. However, the satellite network topology changes dynamically and the ground user unbalanced distribution leads to the unbalanced load of the SDN controller, which further leads to the increased communication delay and throughput drop, etc. For these problems, a hierarchical multi-controller deployment strategy of an SDN-based 6G SAGIN is proposed. Firstly, the delay model of the network, the load model of the SDN controller, and a loss value as a measure of whether the network delay and controller load are optimal are defined. Then, using the distribution relationship between the SDN controller and the switch node as the solution space, and taking the loss value as the optimization goal, a multi-controller deployment strategy based on the simulated annealing algorithm is used to search for the optimal solution space. Lastly, considering the network topology changes dynamically and the SDN controller imbalance, a switch migration strategy oriented toward load balancing is proposed. We aimed to determine the controller deployment plan through the above two points, balance the controller load, and then improve the network performance. The simulation results show that the controller load is increased by about 7.71% compared to OCLDS, and the running time is increased by 17.7% compared to n-k-means.

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Section: In Terms Of Multi-controller Deployment Strategiesmentioning

confidence: 99%

Section: Compare the Load Variances Of Different Algorithms With Timementioning

confidence: 99%

Multi-Controller Deployment in SDN-Enabled 6G Space–Air–Ground Integrated Network

Liao

Chen

et al. 2022

Remote Sensing

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“…Blockchain-based 6G space-air-ground architecture for secure UAV communications [457] An SDN-based space-air-ground architecture for high-throughput and robust communications [458] Survey on different space-air-ground network architectures [37] has unique performance characteristics and poses particular challenges to adapt themselves for the skies. We present the conclusion of our match study in table XIX.…”

Section: F Connectivity Options Vs Facom Use Cases: Match Studymentioning

confidence: 99%

“…Integration of space-air-ground network segments also gained attention in literature, and the authors of [458] demon- strate an SDN-based space-air-ground architecture. Each layer has its own SDN controller, which are part of a total controller, as shown in figure 22.…”

Section: B Network Architectures For Uavsmentioning

confidence: 99%

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A Survey of Wireless Networks for Future Aerial COMmunications (FACOM)

Baltaci,

Dinc,

Ozger

et al. 2021

Preprint

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Electrification turned over a new leaf in aviation by introducing new types of aerial vehicles along with new means of transportation. Addressing a plethora of use cases, drones are gaining attention in the industry and increasingly appear in the sky. Emerging concepts of flying taxi enable passengers to be transported over several tens of kilometers. Therefore, unmanned traffic management systems are under development to cope with the complexity of future airspace, thereby resulting in unprecedented communication needs. Moreover, the long-term increase in the number of commercial airplanes pushes the limits of voice-oriented communications, and future options such as single-pilot operations demand robust connectivity. In this survey, we provide a comprehensive review and vision for enabling the connectivity applications of aerial vehicles utilizing current and future communication technologies. We begin by categorizing the connectivity use cases per aerial vehicle and analyzing their connectivity requirements. By reviewing more than 500 related studies, we aim for a comprehensive approach to cover wireless communication technologies, and provide an overview of recent findings from the literature toward the possibilities and challenges of employing the wireless communication standards. After analyzing the proposed network architectures, we list the open-source testbed platforms to facilitate future investigations by researchers. This study helped us observe that while numerous works focused on cellular technologies to enable connectivity for aerial platforms, a single wireless technology is not sufficient to meet the stringent connectivity demands of the aerial use cases, especially for the piloting operations. We identified the need of further investigations on multi-technology heterogeneous network architectures to enable robust and real-time connectivity in the sky. Future works should consider suitable technology combinations to develop unified aerial networks that can meet the diverse quality of service demands of the aerial use cases.

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Distributed and multi‐layer hierarchical controller placement in software‐defined satellite‐terrestrial network

Xu,

Wang,

Fang

et al. 2023

Trans Emerging Tel Tech

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Aiming at the controller placement in software‐defined satellite‐terrestrial network, a distributed and multilayer hierarchical controller placement mechanism is proposed to improve the reliability and scalability. First, the metrics of network reliability, maintenance cost and usage cost are defined to establish the controller placement optimization model for the software‐defined satellite‐terrestrial network. Then, a distributed and hierarchical control structure composed of super controller, master controller, and slave controller is presented to enhance the scalability. Furthermore, according to the latitude variation of the LEO satellites, a time‐slot division method is proposed to staticize the network control topology. It reduces control link handover and enhances the stability of control links. In addition, a LEO satellite latitude based slave controller selection strategy and a shortest distance based inter layer control strategy are proposed to facilitate cost reduction and stability enhancement. Finally, extensive simulations demonstrate that the proposed control structure not only obtains high stability and scalability, but also efficiently saves the maintenance and usage cost. Besides, the impacts of service request distribution and satellite number on the control structure are analyzed.

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An SDN-Based Space-Air-Ground Integrated Network Architecture and Controller Deployment Strategy

Cited by 20 publications

References 12 publications

Multi-Controller Deployment in SDN-Enabled 6G Space–Air–Ground Integrated Network

Multi-Controller Deployment in SDN-Enabled 6G Space–Air–Ground Integrated Network

A Survey of Wireless Networks for Future Aerial COMmunications (FACOM)

Distributed and multi‐layer hierarchical controller placement in software‐defined satellite‐terrestrial network

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