Joint topology control and routing in a UAV swarm for crowd surveillance

Alam, Muhammad Morshed; Moh, Sangman

doi:10.1016/j.jnca.2022.103427

Cited by 38 publications

(8 citation statements)

References 34 publications

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“…The algorithm used the previous three node positions to take the decision which in turn was used by the protocol for its operations. Alam and Moh proposed a joint topology control and routing 39 which operated in three steps. The first module controlled the mobility of UAVs to track mobile ground targets for stable communication among UAVs and ground nodes.…”

Section: Related Literaturementioning

confidence: 99%

A quality of service‐aware routing protocol for FANETs

Malhotra,

Kaur

2024

Int J Communication

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SummaryFlying ad hoc networks (FANETs) are a class of highly dynamic mobile ad hoc networks in which flying UAVs coordinate among themselves for delivering the data to the applications. Data routing in FANETs has been a challenge due to the inherent mobile and unpredictable movement of UAV nodes. This paper proposes a quality of service‐aware routing protocol (QARP) for FANETs which incorporates hybrid nature‐inspired heuristics to identify optimized routes to the destination UAVs. The routing mechanism operates in two phases. In the first phase, the neighbour discovery initializes the adapted firefly algorithm to identify nodes with least packet delivery delay to the destination. In the second phase, the Gaussian quantum‐behaved particle swarm optimization meta‐heuristic algorithm is utilized to identify the most optimal nodes to create a route for data delivery to destination. The proposed protocol has been tested to perform better in terms of delay, routing overhead, throughput and packet delivery ratio in comparison to MA‐DP‐AODV, MDA‐AODV and MDRMA routing protocols.

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Section: Related Literaturementioning

confidence: 99%

A quality of service‐aware routing protocol for FANETs

Malhotra,

Kaur

2024

Int J Communication

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“…The secure communication of UAV swarm is essential to ensure the privacy of the data transmitted between the UAVs and to prevent unauthorized access and interference. SND is a protocol [77] for secure and efficient discovery of neighbors in a UAV swarm. It uses cryptographic techniques to provide integrity and authenticity of the messages exchanged between UAVs during the discovery process.…”

Section: Fig 2 Classification Of Uav Swarm Algorithmsmentioning

confidence: 99%

A Survey on UAV Network for Secure Communication and Attack Detection: A focus on Q-learning, Blockchain, IRS and mmWave Technologies

2024

KSII TIIS

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Unmanned Aerial Vehicle (UAV) networks, also known as drone networks, have gained significant attention for their potential in various applications, including communication. UAV networks for communication involve using a fleet of drones to establish wireless connectivity and provide communication services in areas where traditional infrastructure is lacking or disrupted. UAV communication networks need to be highly secured to ensure the technology's security and the users' safety. The proposed survey provides a comprehensive overview of the current state-of-the-art UAV network security solutions. In this paper, we analyze the existing literature on UAV security and identify the various types of attacks and the underlying vulnerabilities they exploit. Detailed mitigation techniques and countermeasures for the protection of UAVs are described in this paper. The survey focuses on the implementation of novel technologies like Q-learning, blockchain, IRS, and mmWave. This paper discusses network simulation tools that range in complexity, features, and programming capabilities. Finally, future research directions and challenges are highlighted.

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“…In multi-UAV systems, selecting the path with the most effective route is a challenging issue that must be solved to minimize the overall energy consumption and travel distance [ 33 ]. The joint consideration of the topology and routing to select the optimal path is shown to be successful in minimizing delay as well as energy consumption [ 64 , 65 ]. Thus, to meet the excessive parcel delivery requirements, multi-UAV deployment can be a potential solution [ 66 ].…”

Section: Research and Development Challengesmentioning

confidence: 99%

Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security

Raivi

Huda

Arafat

et al. 2023

Sensors

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Recently, owing to the high mobility and low cost of drones, drone-based delivery systems have shown considerable potential for ensuring flexible and reliable parcel delivery. Several crucial design issues must be considered to design such systems, including route planning, payload weight consideration, distance measurement, and customer location. In this paper, we present a survey of emerging drone routing algorithms for drone-based delivery systems, emphasizing three major drone routing aspects: trajectory planning, charging, and security. We focus on practical design considerations to ensure efficient, flexible, and reliable parcel delivery. We first discuss the potential issues arising when designing such systems. Next, we present a novel taxonomy based on the above-mentioned three aspects. We extensively review each algorithm for drone routing in terms of key features and operational characteristics. Furthermore, we compare the algorithms in terms of their main idea, advantages, limitations, and performance aspects. Finally, we present open research challenges to motivate further research in this field. In particular, we focus on the major aspects that researchers and engineers need to consider in order to design effective and reliable drone routing algorithms for drone-based delivery systems.

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Joint topology control and routing in a UAV swarm for crowd surveillance

Cited by 38 publications

References 34 publications

A quality of service‐aware routing protocol for FANETs

A quality of service‐aware routing protocol for FANETs

A Survey on UAV Network for Secure Communication and Attack Detection: A focus on Q-learning, Blockchain, IRS and mmWave Technologies

Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security

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