Ad-hoc network of unmanned aerial vehicle swarms for search &amp;#x00026; destroy tasks

Khare, Vineet R.; Wang, F.Z.; Wu, Sining; Deng, Yuhui; Thompson, Chris

doi:10.1109/is.2008.4670440

Cited by 26 publications

(7 citation statements)

References 7 publications

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“…Authors in [39] designed another FANET test platform using the dynamic source routing (DSR) protocol. Khare believes that the DSR protocol only initiates the route lookup process when the source nodes have data transmission, which is more effective for the high mobility of the node and the dynamic change of the topology of the FANET than the proactive routing protocol [40]. In another recent study in [41], the authors concluded that DSR has the highest throughput and is the most suitable routing protocol among others in a high movement and dynamic network.…”

Section: Related Workmentioning

confidence: 99%

A mean field game-theoretic cross-layer optimization for multi-hop swarm UAV communications

Yang

et al. 2022

J. Commun. Netw.

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Section: Related Workmentioning

confidence: 99%

A mean field game-theoretic cross-layer optimization for multi-hop swarm UAV communications

Yang

et al. 2022

J. Commun. Netw.

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“…In [71], authors developed a UAV ad hoc network test platform based on the DSR protocol. Khare et al [72] found that due to the high mobility and topology instability of UAV nodes, DSR is more suitable for UAV ad hoc networks than proactive protocols. Li et al [73] proposed the Restrict DSR (RE-DSR) for limiting the maximum hop count of Route Requests (RREQ), which can save routing storage space and reduce routing overhead for UAV nodes.…”

Section: Reactive Routing Protocolsmentioning

confidence: 99%

Review of Unmanned Aerial Vehicle Swarm Communication Architectures and Routing Protocols

2020

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Over the past decades, Unmanned Air Vehicles (UAVs) have achieved outstanding performance in military, commercial and civilian applications. UAVs are increasingly appearing in the form of swarms or formations to meet higher mission requirements. Communication plays an important role in UAV swarm control and coordination. The communication architecture defines how information is exchanged between UAVs or between UAVs and the central control center. Routing protocols help provide reliable end-to-end data transmission. Therefore, it is particularly important to design UAV swarm communication architectures and routing protocols with high performance and stability. This review article details four communication architectures including the advantages and disadvantages. Applicable scenarios are also discussed. In addition, a systematic overview and feasibility research of routing protocols are presented in this paper. To spur further research, the open research issues of UAV swarm communication architectures and routing protocols are also investigated.

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“…DSR is a basic reactive routing protocol, in which the source node defined by the complete path of the data transmission sequence and placed it in the header of the packet. The DSR has proved effective in situations with moving nodes as compared to other protocols (Khare et al , 2008). AODV protocol allocates fixed time frames for data communication.…”

Section: Dynamic Routing Protocolsmentioning

confidence: 99%

3D path planning, routing algorithms and routing protocols for unmanned air vehicles: a review

Amarat

Zong

2019

AEAT

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Purpose This paper aims to present a comprehensive review in major research areas of unmanned air vehicles (UAVs) navigation, i.e. three degree-of-freedom (3D) path planning, routing algorithm and routing protocols. The paper is further aimed to provide a meaningful comparison among these algorithms and methods and also intend to find the best ones for a particular application. Design/methodology/approach The major UAV navigation research areas are further classified into different categories based on methods and models. Each category is discussed in detail with updated research work done in that very domain. Performance evaluation criteria are defined separately for each category. Based on these criteria and research challenges, research questions are also proposed in this work and answered in discussion according to the presented literature review. Findings The research has found that conventional and node-based algorithms are a popular choice for path planning. Similarly, the graph-based methods are preferred for route planning and hybrid routing protocols are proved better in providing performance. The research has also found promising areas for future research directions, i.e. critical link method for UAV path planning and queuing theory as a routing algorithm for large UAV networks. Originality/value The proposed work is a first attempt to provide a comprehensive study on all research aspects of UAV navigation. In addition, a comparison of these methods, algorithms and techniques based on standard performance criteria is also presented the very first time.

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Ad-hoc network of unmanned aerial vehicle swarms for search & destroy tasks

Cited by 26 publications

References 7 publications

A mean field game-theoretic cross-layer optimization for multi-hop swarm UAV communications

A mean field game-theoretic cross-layer optimization for multi-hop swarm UAV communications

Review of Unmanned Aerial Vehicle Swarm Communication Architectures and Routing Protocols

3D path planning, routing algorithms and routing protocols for unmanned air vehicles: a review

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