A Reliable Prognostic Communication Routing for Flying Ad Hoc Networks

Pari, S. Neelavathy; Gangadaran, D.

doi:10.1109/icoei.2018.8553810

Cited by 9 publications

(3 citation statements)

References 8 publications

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“…In [100], authors integrate GPS with OLSR routing protocol to minimize the route discovery process. Due to high speed of UAVs, network topology changes frequently; therefore, finding a new position of UAVs is a challenging task.…”

Section: B: Improved Optimized Link State Routing Protocol (I-olsr)mentioning

confidence: 99%

Routing Protocols for Unmanned Aerial Vehicle Networks: A Survey

2019

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Unmanned aerial vehicles (UAVs) have gained popularity for diverse applications and services in both the military and civilian domains. For cooperation and collaboration among UAVs, they can be wirelessly interconnected in an ad hoc manner, resulting in a UAV network. UAV networks have unique features and characteristics that are different from mobile ad hoc networks and vehicular ad hoc networks. The dynamic behavior of rapid mobility and topology changes in UAV networks makes the design of a routing protocol quite challenging. In this paper, we review the routing protocols for UAV networks, in which the topology-based, position-based, hierarchical, deterministic, stochastic, and social-network-based routing protocols are extensively surveyed. The routing protocols are then compared qualitatively in terms of their major features, characteristics, and performance. Open issues and research challenges are also discussed in the perspective of design and implementation.INDEX TERMS Unmanned aerial vehicle network, flying ad hoc network, drone ad hoc network, routing protocol, rapid mobility, dynamic topology, scalability.

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Section: B: Improved Optimized Link State Routing Protocol (I-olsr)mentioning

confidence: 99%

Routing Protocols for Unmanned Aerial Vehicle Networks: A Survey

2019

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“…Routing is a complex problem in FANETs: even if the control center knows each UAV's position at a given instant, the dynamic, three-dimensional nature of a swarm makes maintaining stable routes a difficult problem. Most routing protocols for FANETs have been devised as an extension to the traditional Mobile Ad-Hoc Network (MANET) protocols such as Ad-Hoc On Demand Distance Vector Routing (AODV) and Optimized Link State Routing (OLSR) [8]- [12].…”

Section: Introductionmentioning

confidence: 99%

Beam Aware Stochastic Multihop Routing for Flying Ad-hoc Networks

Deshpande¹,

Pereira²,

Chiariotti³

et al. 2022

Preprint

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Routing is a crucial component in the design of Flying Ad-Hoc Networks (FANETs). State of the art routing solutions exploit the position of Unmanned Aerial Vehicles (UAVs) and their mobility information to determine the existence of links between them, but this information is often unreliable, as the topology of FANETs can change quickly and unpredictably. In order to improve the tracking performance, the uncertainty introduced by imperfect measurements and tracking algorithms needs to be accounted for in the routing. Another important element to consider is beamforming, which can reduce interference, but requires accurate channel and position information to work. In this work, we present the Beam Aware Stochastic Multihop Routing for FANETs (BA-SMURF), a Software-Defined Networking (SDN) routing scheme that takes into account the positioning uncertainty and beamforming design to find the most reliable routes in a FANET. Our simulation results show that joint consideration of the beamforming and routing can provide a 5% throughput improvement with respect to the state of the art.

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“…At present, relevant scholars have conducted some research on the UAV ad hoc network protocol. Literature [10,11] proposed a geographical location-based OLSR protocol, adding a location field to the HELLO message. Since additional content was added to the original HELLO packet, it brought some additional control overhead.…”

Section: Introductionmentioning

confidence: 99%

An Optimized Routing OLSR Protocol with Low Control Overhead for UAV Ad Hoc Networks

Zhu¹,

Zhou²,

Yang³

et al. 2021

AJNC

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OLSR (Optimized Link State Routing) protocol is a priori Routing protocol applied in MANET network. All nodes in the network have Routing information to other nodes locally and need to send a large number of control messages to maintain the topology information of the whole network. In UAV application scenarios, with the increase of node density, the control overhead will be too high and the problems of hidden terminals will be intensified. Secondly, due to the fast moving speed of UAVs, when the neighboring UAVs have moved out of the communication range of the local node, the local node still retains the routing information of the neighbor node, leading to the problem of packet loss when the link information is updated behind time. Aiming at the above problems, an OLSR protocol with low control overhead and optimal routing is proposed. The protocol uses the incremental HELLO message mechanism to ensure that only incremental information is exchanged when the network topology changes slowly, and the control overhead is greatly reduced. When calculating routing, in the range of n hops, the more stable link is selected under the same number of hops. Simulation results show that the proposed algorithm can significantly improve the success rate of packet transmission and end-to-end delay, and reduce the system control overhead.

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A Reliable Prognostic Communication Routing for Flying Ad Hoc Networks

Cited by 9 publications

References 8 publications

Routing Protocols for Unmanned Aerial Vehicle Networks: A Survey

Routing Protocols for Unmanned Aerial Vehicle Networks: A Survey

Beam Aware Stochastic Multihop Routing for Flying Ad-hoc Networks

An Optimized Routing OLSR Protocol with Low Control Overhead for UAV Ad Hoc Networks

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