Adapting Ad-hoc Routing Protocol for Unmanned Aerial Vehicle Systems

Ragab, Ahmed Refaat; Flores, Pablo

doi:10.18517/ijods.2.1.1-8.2021

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…Srivastava and Prakash 11 explained the merits of flying ad hoc networks and suggested the open challenges for mobility models and rapid topology. Ragab and Flores 12 discussed the different ad hoc routing protocols such as reactive, proactive, and hybrid routing protocols. All these protocols are applied in the flying ad hoc network and vehicular ad hoc networks.…”

Section: Related Workmentioning

confidence: 99%

Mobility Management UAV‐based Grouping routing protocol in flying ad hoc networks for biomedical applications

Ananthi

Jose

2022

Int J Communication

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Wireless body area networks play a vital role in the medical field by saving human lives. It senses the human body condition and transmits it to the respective doctors. The faster the communication, the sensed data can be transmitted faster and the patients in emergency can be treated on time.Therefore, to increase the speed of communication, Unmanned Aerial Vehicles (UAV) are used in biomedical applications. In this flying ad hoc network, there is a possibility of link failure due to the high mobility of UAV. To overcome this issue, a new routing protocol, Mobility Management UAV-based Grouping (MMUG), for biomedical data transmission from one ground station to another via UAV is suggested in this research. The UAV creates the grouping system based on the coverage range of the group head. Group head selects the node that lies closer to the ground station. Group head continuously monitors the mobility of the unmanned aerial vehicles that lie in the coverage range and thus helps to maintain the link stability. The mobility issue will be overcome by using this proposed scheme, and it manages the mobility. The mobility management helps to increase the network performance by increasing the delivery rate and throughput and reducing the drop rate and overhead. Simulation results show that this routing protocol achieves 86% delivery rate and 1.95 Mbps throughput and reduces the drop rate by 14%, control overhead by 23%, and routing overhead by 20%. Moreover, this model achieves higher network performance compared to the existing techniques.

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Section: Related Workmentioning

confidence: 99%

Mobility Management UAV‐based Grouping routing protocol in flying ad hoc networks for biomedical applications

Ananthi

Jose

2022

Int J Communication

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“…• Introduction of UAV swarm technologies (Campion et al 2019;Ragab and Flores 2021): many self-organizing UAVs united in a group to perform a common task;…”

Section: Introductionmentioning

confidence: 99%

Organization of Communication with the Unmanned Aerial Vehicle in a Combined Data Transmission Network

Chechin,

Kalyagin,

Kolesnichenko

et al. 2023

J. Aerosp. Technol. Manag.

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Communication with UAV (Unmanned Aerial Vehicle) can be organized using terrestrial radio (high efficiency, but limited in terms of service area) and satellite (global coverage area, but large delay in propagation of radio signals) communication networks. Their integration will ensure high efficiency and reliability of information interaction with UAV. The task of dynamic control of information flows to ensure the specified characteristics is relevant. The article analyzes the algorithm for managing information flows when a communication session with UAV is performed through that segment of the network (terrestrial or satellite one), which at the moment will provide the maximum efficiency of information delivery. A mathematical model of information exchange in this integrated communication network as a queuing network with Poisson incoming traffic and exponential distribution of the volume of transmitted information has been developed. Ratios are obtained for calculating the average network delay depending on the ratio between throughputs of satellite and terrestrial segments of integration of the communication network. The proposed model allows selecting the required bandwidth of satellite and terrestrial segments of communication networks, where the specified requirements for the speed of information delivery are provided. The use of dynamic flow control can significantly increase the efficiency of information exchange with UAV.

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Unmanned Aerial Vehicle Communications for Civil Applications: A Review

et al. 2022

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The use of drones, formally known as unmanned aerial vehicles (UAVs), has significantly increased across a variety of applications over the past few years. This is due to the rapid advancement towards the design and production of inexpensive and dependable UAVs and the growing request for the utilization of such platforms particularly in civil applications. With their intrinsic attributes such as high mobility, rapid deployment and flexible altitude, UAVs have the potential to be utilized in many wireless system applications. On the one hand, UAVs are able to operate as flying mobile terminals within wireless/cellular networks to support a variety of missions such as goods delivery, search and rescue, precision agriculture monitoring, and remote sensing. On the other hand, UAVs can be utilized as aerial base stations to increase wireless communication coverage, reliability, and the capacity of wireless systems without additional investment in wireless systems infrastructure. The aim of this article is to review the current applications of UAVs for civil and commercial purposes. The focus of this paper is on the challenges and communication requirements associated with UAV-based communication systems. This article initially classifies UAVs in terms of various parameters, some of which can impact UAVs' communication performance. It then provides an overview of aerial networking and investigates UAVs routing protocols specifically, which are considered as one of the challenges in UAV communication. This article later investigates the use of UAV networks in a variety of civil applications and considers many challenges and communication demands of these applications. Subsequently, different types of simulation platforms are investigated from a communication and networking viewpoint. Finally, it identifies areas of future research.

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Adapting Ad-hoc Routing Protocol for Unmanned Aerial Vehicle Systems

Cited by 6 publications

References 13 publications

Mobility Management UAV‐based Grouping routing protocol in flying ad hoc networks for biomedical applications

Mobility Management UAV‐based Grouping routing protocol in flying ad hoc networks for biomedical applications

Organization of Communication with the Unmanned Aerial Vehicle in a Combined Data Transmission Network

Unmanned Aerial Vehicle Communications for Civil Applications: A Review

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