Taking FANET to Next Level

IF 1.7 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2022-02-08 DOI:10.14201/adcaij2021104321337
Altaf Hussain, Habib Ullah Khan, S. Nazir, Ijaz Ullah, T. Hussain
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Abstract

Flying Ad-hoc Network (FANET) is a special member/class of Mobile Ad-hoc Network (MANET) in which the movable nodes are known as by the name of Unmanned Aerial Vehicles (UAVs) that are operated from a long remote distance in which there is no human personnel involved. It is an ad-hoc network in which the UAVs can more in 3D ways simultaneously in the air without any onboard pilot. In other words, this is a pilot free ad-hoc network also known as Unmanned Aerial System (UAS) and the component introduced for such a system is known as UAV. There are many single UAV applications but using multiple UAVs system cooperating can be helpful in many ways in the field of wireless communication. Deployments of these small UAVs are quick and flexible which overcome the limitation of traditional ad hoc networks. FANETs differ from other kinds of ad hoc networks and envisioned to play an important role where infrastructure operations are not available and assigned tasks are too dull, dirty, or dangerous for humans. Moreover, setting up to bolster the range and performance of small UAV in ad hoc network lead to emergent evolution with its high stability, quick deployment, and ease-of-use for the formation of the network. Routing and task allocation are the challenging research areas of the network with ad hoc nodes. The paper overview based on the study of biological inspired routing protocols (Moth-and-Ant and Bee Ad-Hoc) routing protocols.
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让FANET更上一层楼
飞行自组织网络(FANET)是移动自组织网络(MANET)的一个特殊成员/类别,其中的可移动节点被称为无人驾驶飞行器(uav),在没有人员参与的情况下从远距离操作。这是一个自组织网络,其中无人机可以在没有任何机载飞行员的情况下以3D方式同时在空中飞行。换句话说,这是一个飞行员自由的自组织网络,也被称为无人机系统(UAS),为这样一个系统引入的组件被称为UAV。单无人机的应用有很多,但多无人机系统协同工作在无线通信领域有很多好处。这些小型无人机的部署快速灵活,克服了传统自组织网络的局限性。fanet不同于其他类型的自组织网络,设想在基础设施操作不可用和分配的任务对人类来说过于沉闷、肮脏或危险的情况下发挥重要作用。此外,在自组织网络中建立以支持小型无人机的范围和性能导致其高稳定性,快速部署和易于使用的网络形成的紧急演变。路由和任务分配是具有自组织节点的网络中具有挑战性的研究领域。本文综述了基于生物启发的路由协议(蛾蚁路由协议和蜜蜂自组织路由协议)的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
22
审稿时长
4 weeks
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