A game theoretic approach of deployment a multiple UAVs for optimal coverage

Nemer, Ibrahim A.; Sheltami, Tarek R.; Mahmoud, Ashraf

doi:10.1016/j.tra.2020.08.004

Cited by 19 publications

(10 citation statements)

References 28 publications

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“…It is important that they are positioned appropriately so that the number of UAV deployments can be reduced significantly to provide the desired network services. In [392], a non-cooperative game is used to find the optimal locations of UAVs for providing communication services, e.g., to a group of UGVs operating on the ground. In [393], the authors study the routing problem for multi-agent UAVs using game theory where a set of UAVs collect information via surveillance of an area of interest without relying on a reliable communication medium to coordinate with other UAVs.…”

Section: A: Communication Servicesmentioning

confidence: 99%

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

et al. 2023

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With the emergence of the Internet-of-Things (IoT), artificial intelligence, and communication technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm with profound applications in many aspects of society including homes, energy, agriculture, health-care, transportation, business, and manufacturing. A CPS uses suitable computational techniques such as game theory to enable different entities to interact with one another for taking necessary actions to obtain selected objectives. Recent literature on CPS has extensively used game theory to approach a variety of technical challenges. In order to make these contributions more accessible to a broader audience, there is a need for studies that can provide readers with a comprehensive understanding of different types of CPS and their attributes, then clearly outline why game theory is relevant for modeling different aspects of CPS, and also discuss how game theory has been used in relevant literature to date. This paper bridges this gap by 1) providing a general discussion of different types of CPS and their characteristics; 2) giving an overview of different types of game-theoretic approaches; 3) explaining why game theory is appropriate for modeling different types of CPS; and 4) finally, studying how game theory has been used in different CPS types to address their challenges. Further, we also identify some key research challenges for future investigation where game theory could be applied as a potential solution.

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Section: A: Communication Servicesmentioning

confidence: 99%

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

et al. 2023

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“…We also assumed that any given IP can be covered by many UAVs at the same time. As in [49], the corresponding coverage value of any cell (IP i : i ∈ {1, . .…”

Section: Channel and Coverage Modelmentioning

confidence: 99%

Energy-Efficient UAV Movement Control for Fair Communication Coverage: A Deep Reinforcement Learning Approach

Nemer

Sheltami

Belhaiza

et al. 2022

Sensors

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Unmanned Aerial Vehicles (UAVs) are considered an important element in wireless communication networks due to their agility, mobility, and ability to be deployed as mobile base stations (BSs) in the network to improve the communication quality and coverage area. UAVs can be used to provide communication services for ground users in different scenarios, such as transportation systems, disaster situations, emergency cases, and surveillance. However, covering a specific area under a dynamic environment for a long time using UAV technology is quite challenging due to its limited energy resources, short communication range, and flying regulations and rules. Hence, a distributed solution is needed to overcome these limitations and to handle the interactions among UAVs, which leads to a large state space. In this paper, we introduced a novel distributed control solution to place a group of UAVs in the candidate area in order to improve the coverage score with minimum energy consumption and a high fairness value. The new algorithm is called the state-based game with actor–critic (SBG-AC). To simplify the complex interactions in the problem, we model SBG-AC using a state-based potential game. Then, we merge SBG-AC with an actor–critic algorithm to assure the convergence of the model, to control each UAV in a distributed way, and to have learning capabilities in case of dynamic environments. Simulation results show that the SBG-AC outperforms the distributed DRL and the DRL-EC3 in terms of fairness, coverage score, and energy consumption.

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“…Nevertheless, to avoid the interference issue, the drone's height should be defined based on the directional antenna's beamwidth and the coverage requirements. The work in [29] analyzed the optimal deployment of UAVs in a multi-level and multi-dimensional assisted network. The distributed approach was based on a potential game approach.…”

Section: B Uavs Assisted Deploymentmentioning

confidence: 99%

A Novel Collaborative IoD-Assisted VANET Approach for Coverage Area Maximization

et al. 2021

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Internet of Drones (IoD) is an efficient technique that can be integrated with vehicular adhoc networks (VANETs) to provide terrestrial communications by acting as an aerial relay when terrestrial infrastructure is unreliable or unavailable. To fully exploit the drones' flexibility and superiority, we propose a novel dynamic IoD collaborative communication approach for urban VANETs. Unlike most of the existing approaches, the IoD nodes are dynamically deployed based on current locations of ground vehicles to effectively mitigate inevitable isolated cars in conventional VANETs. For efficiently coordinating IoD, we model IoD to optimize coverage based on the location of vehicles. The goal is to obtain an efficient IoD deployment to maximize the number of covered vehicles, i.e., minimize the number of isolated vehicles in the target area. More importantly, the proposed approach provides sufficient interconnections between IoD nodes. To do so, an improved version of succinct population-based meta-heuristic, namely Improved Particle Swarm Optimization (IPSO) inspired by food searching behavior of birds or fishes flock, is implemented for IoD assisted VANET (IoDAV). Moreover, the coverage, received signal quality, and IoD connectivity are achieved by IPSO's objective function for optimal IoD deployment at the same time. We carry out an extensive experiment based on the received signal at floating vehicles to examine the proposed IoDAV performance. We compare the results with the baseline VANET with no IoD (NIoD) and Fixed IoD assisted (FIoD). The comparisons are based on the coverage percentage of the ground vehicles and the quality of the received signal. The simulation results demonstrate that the proposed IoDAV approach allows finding the optimal IoD positions throughout the time based on the vehicle's movements and achieves better coverage and better quality of the received signal by finding the most appropriate IoD position compared with NIoD and FIoD schemes.

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A game theoretic approach of deployment a multiple UAVs for optimal coverage

Cited by 19 publications

References 28 publications

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

Energy-Efficient UAV Movement Control for Fair Communication Coverage: A Deep Reinforcement Learning Approach

A Novel Collaborative IoD-Assisted VANET Approach for Coverage Area Maximization

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