On the Routing in Flying Ad hoc Networks

Tareque, Md. Hasan; Hossain, S.; Atiquzzaman, Mohammed

doi:10.15439/2015f002

Cited by 94 publications

(43 citation statements)

References 29 publications

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“…This high speed causes a rapid change in the link quality between a UAV and other nodes, which introduces different design challenges to the communications protocols. Therefore, FANET needs new communication protocols to fulfill the communication requirements of Multi-UAV systems [322].…”

Section: Networking Challengesmentioning

confidence: 99%

Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges

et al. 2019

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The use of unmanned aerial vehicles (UAVs) is growing rapidly across many civil application domains including realtime monitoring, providing wireless coverage, remote sensing, search and rescue, delivery of goods, security and surveillance, precision agriculture, and civil infrastructure inspection. Smart UAVs are the next big revolution in UAV technology promising to provide new opportunities in different applications, especially in civil infrastructure in terms of reduced risks and lower cost. Civil infrastructure is expected to dominate the more that $45 Billion market value of UAV usage. In this survey, we present UAV civil applications and their challenges. We also discuss current research trends and provide future insights for potential UAV uses. Furthermore, we present the key challenges for UAV civil applications, including: charging challenges, collision avoidance and swarming challenges, and networking and security related challenges. Based on our review of the recent literature, we discuss open research challenges and draw high-level insights on how these challenges might be approached.

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Section: Networking Challengesmentioning

confidence: 99%

Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges

et al. 2019

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“…[7], for example, investigates a layered UAV swarm network architecture and proposes a low latency routing algorithm (LLRA) for this network architecture. Similarly [14] surveys and analyses the suitability of traditional mobile adhoc network protocols for flying adhoc networks. Our work will complement on these works.…”

Section: Related Workmentioning

confidence: 99%

“…Of which an increasingly more popular one is rapid deployment as relays to meet the networking needs in places where network infrastructure [1] [2] [3] [4] [5] [6]. Researchers have investigated a wide range of topics including architecture design [1] [3], placement [6], coverage [5], channel optimisation [4] and routing [7] [8]. However, existing works simply assume networking demands are known and hence once UAVs are deployed they either remain stationary or only move on predefined paths regardless the movement of the users on the ground.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Flying WiFi Access Point

Nunns

Chen

Chang

et al. 2019

2019 IEEE Symposium on Computers and Communications (ISCC)

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Unmanned aerial vehicles (UAVs), aka drones, are widely used civil and commercial applications. A promising one is to use the drones as relying nodes to extend the wireless coverage. However, existing solutions only focus on deploying them to predefined locations. After that, they either remain stationary or only move in predefined trajectories throughout the whole deployment. In the open outdoor scenarios such as search and rescue or large music events, etc., users can move and cluster dynamically. As a result, network demand will change constantly over time and hence will require the drones to adapt dynamically.In this paper, we present a proof of concept implementation of an UAV access point (AP) which can dynamically reposition itself depends on the users movement on the ground. Our solution is to continuously keeping track of the received signal strength from the user devices for estimating the distance between users devices and the drone, followed by trilateration to localise them. This process is challenging because our on-site measurements show that the heterogeneity of user devices means that change of their signal strengths reacts very differently to the change of distance to the drone AP. Our initial results demonstrate that our drone is able to effectively localise users and autonomously moving to a position closer to them.Index Terms-UAV access point, Flying access point, Drone based user localisation

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“…[9] discussed the routing protocols of unmanned vehicle for the further development. [13] Provided an overview of FANET with its issues compared with common ad-hoc networks and routing protocols available for FANETs were segregated into different categories. [22] Collected the review about existing protocol of FANET, and provided the main challenges of FANET routing protocol design.…”

Section: Literature Reviewmentioning

confidence: 99%

ABCIP: Artificial Bee Colony Inspired Protocol for Routing in Flying Ad-Hoc Network

Karthikeyan¹,

Vadivel²

2019

IJRTE

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Flying Ad-hoc Network (FANET) is described as a special kind of ad-hoc network coming under the family of Mobile Ad-hoc Network (MANET). FANETs is characterized to have high range of mobility when comparing with MANET. Setting up the route and maintaining its lifetime is a tedious job in FANET, because the MANET routing protocols that already exist will never fit for FANET because of its increased level of mobility, environmental circumstances and topography structure. There arises a need for bio-inspired based routing protocol to overcome the obstacles. This paper proposes Artificial Bee Colony Inspired Protocol inspired from the bio-inspired concepts. The proposed protocol gradually reduces the level of congestion occurring at different routing path, where it considers the successful route setup and its life time to increase the data delivery. In ABCIP, bee colony is enhanced to analyze and choose the routing path instead of picking up in random. Simulation is carried out using NS2and the results indicates the proposed protocol considerably performs better than the existing protocols in maximizing the successful route setup and its life time, which minimizes the service disruption

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On the Routing in Flying Ad hoc Networks

Cited by 94 publications

References 29 publications

Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges

Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges

Autonomous Flying WiFi Access Point

ABCIP: Artificial Bee Colony Inspired Protocol for Routing in Flying Ad-Hoc Network

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