FANET optimization: a destination path flow model

Sadiq, Bashir Olaniyi; Salawudeen, Ahmed Tijani

doi:10.11591/ijece.v10i4.pp4381-4389

Cited by 8 publications

(8 citation statements)

References 24 publications

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“…However, the UAV routing strategy does not consider possible collisions among the UAVs. Hence, to avoid link breakage during information transfer, the communication path between multiple UAVs is optimized to improve communication links in flying Adhoc networks using smell agent optimization and the Particle Swarm Optimization (PSO) algorithm [29].…”

Section: Literature Reviewmentioning

confidence: 99%

Livestock Management on Grazing Field: A FANET Based Approach

et al. 2022

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In recent times, designated grazing areas/fields or routes for livestock grazing are usually defined. Hence, their herding activities’ success relies on data extracted from aerial photographs. As such, a direct and cost-effective way of monitoring livestock for perimeter coverage and in other natural situations is required. This paper presents a coverage solution involving multiple unmanned aerial vehicles interacting. The presented approach is built on a graph, with geographic coordinates set such that several Unmanned Aerial Vehicles (UAVs) can successfully cover the area. The maximum flying time determines the number of UAVs employed for coverage. The proposed solution is thought to solve some practical problems encountered during the execution of the task with actual UAVs. It is suitable for long-term monitoring of animal behavior under various weather conditions and observing the relationship between livestock distribution and available resources on a grazing field. The simulation was carried out using MATLAB and aerial images from Google Earth.

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Section: Literature Reviewmentioning

confidence: 99%

Livestock Management on Grazing Field: A FANET Based Approach

et al. 2022

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“…Real-time photographs and movies recorded by drones will have a wider field of view, cover large areas, have a minimal blockage in open places, and have an adjustable alleviating view, as shown in the application scenarios in Figure 1 when operated in an ad hoc manner [10]. The photos collected by the UAVs are sent to the end system using standard FANET communication media.…”

Section: Figure 1 Fanet Applications Scenario (A) a Sports Coverage (...mentioning

confidence: 99%

“…To put it another way, the real-time surveillance challenge might be reframed as an aerial surveillance or area coverage problem. Static monitoring instruments, such as cameras, are employed to cover the entire region in a classic area coverage problem [1][2]. The situation is different when it comes to environmental research issues.…”

Section: Introductionmentioning

confidence: 99%

FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System

Sadiq¹,

Abiodun²,

Zakariyya³

2022

Preprint

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The major goal of this paper is to use image enhancement techniques for enhancing and extracting data in FANET applications to improve the efficiency of surveillance. The proposed conceptual system design can improve the likelihood of FANET operations in oil pipeline surveillance, and sports and media coverage with the ultimate goal of providing efficient services to those who are interested. The system architecture model is based on current scientific principles and developing technologies. A FANET, which is capable of gathering image data from video-enabled drones, and an image processing system that permits data collection and analysis are the two primary components of the system. Based on the image processing technique, a proof of concept for efficient data extraction and enhancement in FANET situations and possible services is illustrated

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“…Watanabe et al [32] discussed the lightweight security model with the reactive routing protocol to avoid the attacks and identify the intruders in Flying Ad Hoc Networks. Sadiq and Salawudeen [33] explained the process of intermittently connected FANETs for high mobile nodes with mobility-assisted adaptive routing, and it helps to reduce the routing overhead.…”

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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FANET optimization: a destination path flow model

Cited by 8 publications

References 24 publications

Livestock Management on Grazing Field: A FANET Based Approach

Livestock Management on Grazing Field: A FANET Based Approach

FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System

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

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