Efficient Data Processing in Software-Defined UAV-Assisted Vehicular Networks: A Sequential Game Approach

Alioua, Ahmed; Senouci, Sidi‐Mohammed; Moussaoui, Samira; Sedjelmaci, Hichem; Messous, Mohamed Ayoub

doi:10.1007/s11277-018-5815-1

Cited by 34 publications

(45 citation statements)

References 41 publications

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“…By using another kind of technique, Alioua et al [210] proposed a distributed SDN-based UAV-assisted infrastructureless VANETs (dSDiVN) for assisting ground emergency vehicles in a rescue scenario. A sequential game mechanism to explore how to carry out efficient processing of the data by both the sharing of state information and the offloading of computing tasks.…”

Section: Sdn-based Uav-assisted Vanetmentioning

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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Section: Sdn-based Uav-assisted Vanetmentioning

confidence: 99%

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

et al. 2020

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“…Zhao et al [3] developed a SDN architecture-based UAV networks with a single centralized SDN controller to solve the problem about how to replan the location of the relay UAVs, thus improving the QoS (Quality of Service) of a real-time video monitoring service. Alioua et al [4] implemented SDN-based UAV-aided VANETs and investigated how to realize efficient data processing by offloading of computing tasks and sharing of state information. They modeled the tradeoff between computational delay and energy expenditure as a two-person sequential game problem.…”

Section: Sdn-based Uav Network Controlmentioning

confidence: 99%

A Dyna-Q-Based Solution for UAV Networks Against Smart Jamming Attacks

Lü

Shi

et al. 2019

Symmetry

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Unmanned aerial vehicle (UAV) networks have a wide range of applications, such as in the Internet of Things (IoT), 5G communications, and so forth. However, the communications between UAVs and UAVs to ground control stations mainly use radio channels, and therefore these communications are vulnerable to cyberattacks. With the advent of software-defined radio (SDR), smart attacks that can flexibly select attack strategies according to the defender’s state information are gradually attracting the attention of researchers and potential attackers of UAV networks. The smart attack can even induce the defender to take a specific defense strategy, causing even greater damage. Inspired by symmetrical thinking, a solution using a software-defined network (SDN) to combat software-defined radio was proposed. We propose a network architecture which uses dual controllers, including a UAV flight controller and SDN controller, to achieve collaborative decision-making. Built on the top of the SDN, the state information of the whole network converges quickly and is fitted to an environment model used to develop an improved Dyna-Q-based reinforcement learning algorithm. The improved algorithm integrates the power allocation and track planning of UAVs into a unified action space. The simulation data showed that the proposed communication solution can effectively avoid smart jamming attacks and has faster learning efficiency and higher convergence performance than the compared algorithms.

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“…Then in Alioua et al, we have generalized dSDiVN to operate in both covered and uncovered heterogeneous vehicular scenarios. Later in Alioua et al, we have used Unmanned Aerial Vehicles (UAVs) to augment dSDiVN for assisting the ground emergency vehicles in a rescue road safety scenario. A sequential game approach has been used to investigate how to achieve an efficient processing of the data collected by UAV in the proposed software‐defined UAV‐assisted dSDiVN.…”

Section: Related Workmentioning

confidence: 99%

“…In the last few years, integrating the emerging paradigm of software‐defined networking (SDN) in vehicular networks has gained considerable attention. Indeed, several works have shown that by physically separating the control plane features from that of the data plane and by enabling a logically centralized system control, SDN can facilitate the network management, exploit the vehicular resources more efficiently, and bring new services. Recently, the exponential increase in the number of connected vehicles and the growing explosive demand of infotainment bandwidth‐intensive application (eg, video‐on‐demand, video streaming, etc) are provoked an avalanche augmentation of vehicular mobile data traffic.…”

Section: Introductionmentioning

confidence: 99%

Incentive edge caching in software‐defined internet of vehicles: A Stackelberg game approach

Alioua

Senouci

Sedjelmaci

et al. 2018

Int J Communication

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In this paper, we investigate an incentive edge caching mechanism for an internet of vehicles (IoV) system based on the paradigm of software-defined networking (SDN). We start by proposing a distributed SDN-based IoV architecture. Then, based on this architecture, we focus on the economic side of caching by considering competitive cache-enablers market composed of one content provider (CP) and multiple mobile network operators (MNOs). Each MNO manages a set of cache-enabled small base stations (SBS). The CP incites the MNOs to store its popular contents in cache-enabled SBSs with highest access probability to enhance the satisfaction of its users. By leasing their cache-enabled SBSs, the MNOs aim to make more monetary profit. We formulate the interaction between the CP and the MNOs, using a Stackelberg game, where the CP acts first as the leader by announcing the popular content quantity that it which to cache and fixing the caching popularity threshold, a minimum access probability under it a content cannot be cached. Then, MNOs act subsequently as followers responding by the content quantity they accept to cache and the corresponding caching price. A noncooperative subgame is formulated to model the competition between the followers on the CP's limited content quantity.We analyze the leader and the follower's optimization problems, and we prove the Stackelberg equilibrium (SE). Simulation results show that our game-based incentive caching model achieves optimal utilities and outperforms other incentive caching mechanisms with monopoly cache-enablers whilst enhancing 30% of the user's satisfaction and reducing the caching cost. KEYWORDS incentive edge caching, internet of vehicle, software-defined networking, Stackelberg game INTRODUCTIONIn the last few years, Internet of Vehicles (IoV) has emerged as a promising technology for improving next-generation vehicular networks by advanced cloud/edge computing technologies. This rapid emergence has principally boosted by the vigorous development of wireless communication technologies, the explosive usage of in-vehicle mobile internet, and the appearance of the smart city concept. Internet of Vehicles is the instantiation of Internet of things (IoT) paradigm in vehicular scenarios to enable more intelligent and more connected vehicle with new IP-based applications. 1,2 Int J Commun Syst. 2019;32:e3787.wileyonlinelibrary.com/journal/dac

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Efficient Data Processing in Software-Defined UAV-Assisted Vehicular Networks: A Sequential Game Approach

Cited by 34 publications

References 41 publications

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

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

A Dyna-Q-Based Solution for UAV Networks Against Smart Jamming Attacks

Incentive edge caching in software‐defined internet of vehicles: A Stackelberg game approach

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