Enhancing Mobile Military Surveillance Based on Video Streaming by Employing Software Defined Networks

Zacarias, Iulisloi; Schwarzrock, Janaína; Gaspary, Luciano Paschoal; Kohl, Andersonn; Fernandes, Ricardo Queiroz de Araujo; Stocchero, Jorgito Matiuzzi; Freitas, Edison Pignaton de

doi:10.1155/2018/2354603

Cited by 19 publications

(9 citation statements)

References 30 publications

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“…The same research group has published another 2 papers [38] and [39] which are similar to each other. They both consider a tactical MANET including ground vehicles and UAVs.…”

Section: B In-band Control Planementioning

confidence: 76%

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 same research group has published another 2 papers [38] and [39] which are similar to each other. They both consider a tactical MANET including ground vehicles and UAVs.…”

Section: B In-band Control Planementioning

confidence: 76%

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 work proposed in [215] rely on an SDN approach to tackle the high mobility of UAVs that can act as data providers in the context of military mobile networks. This approach aims to provide the best routes to deliver the data, reduce delays in image transmission, and therefore enhances the end-user quality of experience in video streaming.…”

Section: Sdn-based Monitoringmentioning

confidence: 99%

Softwarization of UAV Networks: A Survey of Applications and Future Trends

et al. 2020

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Unmanned Aerial Vehicles (UAVs) have become increasingly important in assisting 5G and beyond 5G (B5G) mobile networks. Indeed, UAVs have all the potentials to both satisfy the ever-increasing mobile data demands of such mobile networks and provide ubiquitous connectivity to different kinds of wireless devices. However, the UAV assistance paradigm faces a set of crucial issues and challenges. For example, the network management of current UAV-assisted systems is time consuming, complicated, and carried out manually, thus causing a multitude of interoperability issues. To efficiently address all these issues, Software-Defined Network (SDN) and Network Function Virtualization (NFV) are two promising technologies to efficiently manage and improve the UAV assistance for the next generation of mobile networks. In the literature, no clear guidelines are describing the different use cases of SDN and NFV in the context of UAV assistance to terrestrial networks, including mobile networks. Motivated by this fact, in this survey, we guide the reader through a comprehensive discussion of the main characteristics of SDN and NFV technologies. Moreover, we provide a thorough analysis of the different classifications, use cases, and challenges related to UAV-assisted systems. We then discuss SDN/NFV-enabled UAV-assisted systems, along with several case studies and issues, such as the involvement of UAVs in cellular communications, monitoring, and routing, to name a few. We furthermore present a set of open research challenges, high-level insights, and future research directions related to UAV-assisted systems.

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“…However, connectivity-centric quality of service monitoring is lacking for overcoming networking dynamism in aerial environments. Am approach based on software-defined networking has been suggested to address the problem of UAVs as data providers considering a highly mobile network for a military surveillance system [34]. This approach is claimed to improve end-user quality of experience.…”

Section: Related Workmentioning

confidence: 99%

Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks

Kumar

Kaiwartya

et al. 2020

Sensors

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Aerial ad-hoc networks have the potential to enable smart services while maintaining communication between the ground system and unmanned aerial vehicles (UAV). Previous research has focused on enabling aerial data-centric smart services while integrating the benefits of aerial objects such as UAVs in hostile and non-hostile environments. Quality of service (QoS) provisioning in UAV-assisted communication is a challenging research theme in aerial ad-hoc networks environments. Literature on aerial ad hoc networks lacks cooperative service-oriented modeling for distributed network environments, relying on costly static base station-oriented centralized network environments. Towards this end, this paper proposes a quality of service provisioning framework for a UAV-assisted aerial ad hoc network environment (QSPU) focusing on reliable aerial communication. The UAV’s aerial mobility and service parameters are modelled considering highly dynamic aerial ad-hoc environments. UAV-centric mobility models are utilized to develop a complete aerial routing framework. A comparative performance evaluation demonstrates the benefits of the proposed aerial communication framework. It is evident that QSPU outperforms the state-of-the-art techniques in terms of a number of service-oriented performance metrics in a UAV-assisted aerial ad-hoc network environment.

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Enhancing Mobile Military Surveillance Based on Video Streaming by Employing Software Defined Networks

Cited by 19 publications

References 30 publications

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

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

Softwarization of UAV Networks: A Survey of Applications and Future Trends

Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks

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