Priority-Based Bandwidth Management in Virtualized Software-Defined Networks

Leonardi, Luca; Bello, Lucia Lo; Aglianò, Simone

doi:10.3390/electronics9061009

Cited by 22 publications

(9 citation statements)

References 43 publications

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“…The proposed method will be used in future radio communication systems, including 5G networks dedicated to military applications. We plan to use it in the upcoming European Defense Agency (EDA) project, codenamed SOFTANET, for the hidden data layer in the wireless part of a software-defined network (SDN) [35][36][37]. It is in line with the trend, visible in the literature, of using steganography in 5G systems and networks, e.g., [21,38].…”

Section: Introductionmentioning

confidence: 61%

A Wireless Covert Channel Based on Dirty Constellation with Phase Drift

2021

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Modern telecommunications systems require the use of various transmission techniques, which are either open or hidden. The open transmission system uses various security techniques against its unauthorized reception, and cryptographic solutions ensure the highest security. In the case of hidden transmissions, steganographic techniques are used, which are based on the so-called covert channels. In this case, the transparency and stealth of the transmission ensure its security against being picked up by an unauthorized user. These covert channels can be implemented in multimedia content, network protocols, or physical layer transmissions. This paper focuses on wireless covert channels. We present a novel method of steganographic transmission which is based on phase drift in phase-shift keying or quadrature amplitude modulation (QAM) and is included in the so-called dirty constellation techniques. The proposed approach is based on the drift correction modulation method, which was previously used in the watermarking of audio-signals. The developed solution is characterized by a variable bit rate, which can be adapted to the used modulation type and transmission conditions occurring in radio channels. In the paper, we present the method of generating and receiving hidden information, simulation research, and practical implementation of the proposed solution using the software-defined radio platform for selected QAM.

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Section: Introductionmentioning

confidence: 61%

A Wireless Covert Channel Based on Dirty Constellation with Phase Drift

2021

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“…Other approaches for healthcare applications exploit the Software-Defined Networking (SDN) paradigm that, as discussed in ref. [27], allows handling the complexity of heterogeneous networks in a simple way and to provide priority-based mechanisms for the monitoring services [28,29]. For example, the architecture proposed in [30] exploits different functional and security applications and services provided by SDN.…”

Section: Related Workmentioning

confidence: 99%

A Network Architecture and Routing Protocol for the MEDIcal WARNing System

Leonardi

Bello

Patti

et al. 2021

JSAN

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The MEDIcal WARNing (MEDIWARN) system continuously and automatically monitors the vital parameters of pre-intensive care hospitalized patients and, thanks to an intelligent processing system, provides the medical teams with a better understanding of their patients’ clinical condition, thus enabling a prompt reaction to any change. Since the hospital units generally lack a wired infrastructure, a wireless network is required to collect sensor data in a server for processing purposes. This work presents the MEDIWARN communication system, addressing both the network architecture and a simple, lightweight and configurable routing protocol that fits the system requirements, such as the ability to offer path redundancy and mobility support without significantly increasing the network workload and latency. The novel protocol, called the MultiPath Routing Protocol for MEDIWARN (MP-RPM), was therefore designed as a solution to support low-latency reliable transmissions on a dynamic network while limiting the network overhead due to the control messages. The paper describes the MEDIWARN communication system and addresses the experimental performance evaluation of an implementation in a real use-case scenario. Moreover, the work discusses a simulative assessment of the MEDIWARN communication system performance obtained using different routing protocols. In particular, the timeliness and reliability results obtained by the MP-RPM routing protocol are compared with those obtained by two widely adopted routing protocols, i.e., the Ad-hoc On-demand Distance Vector (AODV) and the Destination-Sequenced Distance-Vector Routing (DSDV).

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“…Accordingly, it is essential to pay attention to the network bandwidth in smart environments, such as smart homes [3][4][5], smart cities [6,7], smart factories [8][9][10], healthcare [11][12][13], smart metering [14], robotics [15,16], energy management systems [17], and industrial IoT (IIoT) [18][19][20], because numerous kinds of devices cooperate using heterogeneous network communication [21,22]. The steady increase in network complexity and the sharing of physical resources, such as the network bandwidth, leads to flexible and efficient resource management approaches [23].…”

Section: Introductionmentioning

confidence: 99%

“…The authors in [28] improved fault resilience and managed the required bandwidth in industrial cyber-physical system networks through SDN. The problems of shared bandwidth and the size of the network expansion were studied in [23]. The authors focused on the demand for flexible and efficient communication network management in IIoT applications while different flow types share the bandwidth.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Toward an Adaptive Threshold on Cooperative Bandwidth Management Based on Hierarchical Reinforcement Learning

Mobasheri

Kim

2021

Sensors

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With the increase in Internet of Things (IoT) devices and network communications, but with less bandwidth growth, the resulting constraints must be overcome. Due to the network complexity and uncertainty of emergency distribution parameters in smart environments, using predetermined rules seems illogical. Reinforcement learning (RL), as a powerful machine learning approach, can handle such smart environments without a trainer or supervisor. Recently, we worked on bandwidth management in a smart environment with several fog fragments using limited shared bandwidth, where IoT devices may experience uncertain emergencies in terms of the time and sequence needed for more bandwidth for further higher-level communication. We introduced fog fragment cooperation using an RL approach under a predefined fixed threshold constraint. In this study, we promote this approach by removing the fixed level of restriction of the threshold through hierarchical reinforcement learning (HRL) and completing the cooperation qualification. At the first learning hierarchy level of the proposed approach, the best threshold level is learned over time, and the final results are used by the second learning hierarchy level, where the fog node learns the best device for helping an emergency device by temporarily lending the bandwidth. Although equipping the method to the adaptive threshold and restricting fog fragment cooperation make the learning procedure more difficult, the HRL approach increases the method’s efficiency in terms of time and performance.

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Priority-Based Bandwidth Management in Virtualized Software-Defined Networks

Cited by 22 publications

References 43 publications

A Wireless Covert Channel Based on Dirty Constellation with Phase Drift

A Wireless Covert Channel Based on Dirty Constellation with Phase Drift

A Network Architecture and Routing Protocol for the MEDIcal WARNing System

Toward an Adaptive Threshold on Cooperative Bandwidth Management Based on Hierarchical Reinforcement Learning

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