Lifetime Improvement Through Suitable Next Hop Nodes Using Forwarding Angle in FANET

Usman, Qamar; Chughtai, Omer; Nawaz, Nadia; Kaleem, Zeeshan; Khaliq, Kishwer Abdul; Nguyen, Long D.

doi:10.1109/sigtelcom49868.2020.9199025

Cited by 6 publications

(5 citation statements)

References 15 publications

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“…The approach considered link stability as the only parameters in routing decision. Usman et al [11] proposed a forwarding protocol for FANET with next hop selection based on lifetime improvement.…”

Section: Related Workmentioning

confidence: 99%

“…The value is selected based on the density of nodes within the network area. It is calculated as: (4) Where is total area, is the maximum number of clusters and is the total number of UAV nodes. Once cluster are formed, the UAV nodes with consistent values to all other nodes are selected as stable nodes in the cluster.…”

Section: Wherementioning

confidence: 99%

“…The higher mobility creates low link quality. Frequent link disconnections and network partitions increase route discovery and maintenance overhead [4]. The paths must be planned based on predicted positions of UAV to ensure higher packet delivery ratio and lower latency.…”

Section: Introductionmentioning

confidence: 99%

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Routing with Multi-Criteria QoS for Flying Ad-hoc Networks (FANETs)

Reddy¹,

Sekhar²

2022

IJACSA

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Flying Ad-hoc Network (FANET) is a type of Adhoc network on backbone of Unmanned Aerial Vehicle (UAV). These networks are used for providing communication services in case of natural disasters. Dynamic changes in link quality and mobility distort the Quality of Service (QoS) for routing in FANETs. This work proposed a Multi Criteria QoS Optimal Routing (MCQOR) guided by prediction of link quality and three-dimensional (3D) movement of FANET nodes. The network is clustered based on prediction of movement of nodes. Over the clustered topology, routing path is selected in reactive manner with joint optimization of packet delivery ratio, delay, and network overhead. In addition, cross layer feedback is used to reduce the packet generation rate and congestion in network.Through simulation analysis, the proposed routing protocol is found to have 3.8% higher packet delivery ratio, 26% lower delay and 14% lower network overhead compared to existing works.

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Section: Related Workmentioning

confidence: 99%

Section: Wherementioning

confidence: 99%

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Routing with Multi-Criteria QoS for Flying Ad-hoc Networks (FANETs)

Reddy¹,

Sekhar²

2022

IJACSA

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“…Hua and Xing [23] designed a new routing algorithm to improve the routing quality in Flying Ad Hoc Networks. Usman et al [24] proposed the lifetime improvement through suitable next-hop nodes (LISN) routing protocol process applied in Flying Ad Hoc Networks for topology maintenance.…”

Section: Routing Protocols In Fanetmentioning

confidence: 99%

A Review on Various Routing Protocol Designing Features for Flying Ad Hoc Networks

Ananthi

Jose

2021

Lecture Notes on Data Engineering and Communications Technologies

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Flying Ad Hoc Network is derived from the mobile ad hoc network and it consists of unmanned aerial vehicles (UAV) for high-speed communication. Flying Ad Hoc Network has high mobility, and the users can communicate without the help of human intervention. Due to high mobility in FANET, network performance is to be concentrated more. Designing a routing protocol is the most important metric for continuous monitoring, analyzing the network performance, and improve efficient network communication. Design of routing protocol should fulfill the important criteria like neighbor nodes selection, shortest path, traffic control, high scalability, high reliability, high data delivery, low drop rate, lesser delay, and high throughput. Due to the high speed in FANET, routing protocols are to be focused on the improvement of network performance and quality of services. This research work studies the detailed review of suitable routing protocols for Flying Ad hoc Networks and discussed the possible outcomes of the different routing strategies such as source-initiated data-centric, table-driven, hybrid, multipath, location-aware, multicast, geographical multicast, power-aware, and energy-aware. This research study suggested the important metrics be concentrated on designing the efficient routing protocol for Flying Ad Hoc Networks and on improving the quality of services.

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“…High dynamics: The stability of the routing path is greatly affected by the rapid speed of the drone's movement through the air [10].…”

mentioning

confidence: 99%

UAV Ad Hoc Network Routing Algorithms in Space–Air–Ground Integrated Networks: Challenges and Directions

Zhang

Igorevich

et al. 2023

Drones

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With the rapid development of 5G and 6G communications in recent years, there has been significant interest in space–air–ground integrated networks (SAGINs), which aim to achieve seamless all-area, all-time coverage. As a key component of SAGINs, flying ad hoc networks (FANETs) have been widely used in the agriculture and transportation sectors in recent years. Reliable communication in SAGINs requires efficient routing algorithms to support them. In this study, we analyze the unique communication architecture of FANETs in SAGINs. At the same time, existing routing protocols are presented and clustered. In addition, we review the latest research advances in routing algorithms over the last five years. Finally, we clarify the future research trends of FANET routing algorithms in SAGINs by discussing the algorithms and comparing the routing experiments with the characteristics of unmanned aerial vehicles.

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Lifetime Improvement Through Suitable Next Hop Nodes Using Forwarding Angle in FANET

Cited by 6 publications

References 15 publications

Routing with Multi-Criteria QoS for Flying Ad-hoc Networks (FANETs)

Routing with Multi-Criteria QoS for Flying Ad-hoc Networks (FANETs)

A Review on Various Routing Protocol Designing Features for Flying Ad Hoc Networks

UAV Ad Hoc Network Routing Algorithms in Space–Air–Ground Integrated Networks: Challenges and Directions

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