ASR-FANET: An adaptive SDN-based routing framework for FANET

Albu-slaih, Alaa Taima; Khudhair, Hayder Ayad

doi:10.11591/ijece.v11i5.pp4403-4412

Cited by 10 publications

(8 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For this reason, mobile edge computing is frequently used to offload and load balance tasks among UAVs. This approach enables cooperation in solving complex tasks, but it is necessary to consider both energy and communication constraints [25].…”

Section: Fanetmentioning

confidence: 99%

The Evolution of Intelligent Transportation Systems: Analyzing the Differences and Similarities between IoV and IoFV

Herich,

Vaščák

2024

Drones

View full text Add to dashboard Cite

The Internet of Vehicles (IoV) and the Internet of Flying Vehicles (IoFV) are integral components of intelligent transportation systems with the potential to revolutionize the way we move people and goods. Although both the IoV and IoFV share a common goal of improving transportation efficiency, safety, and sustainability, they possess distinct characteristics and face unique challenges. To date, the existing literature has predominantly focused on specific aspects of either the IoV or IoFV, but a comprehensive review comparing and contrasting the two domains is still lacking. This review paper aims to address this gap by providing an in-depth analysis of the key differences between the IoV and IoFV systems. The review will examine the technological components, network infrastructure, communication protocols, data management, objectives, applications, challenges, and future trends associated with both domains. Additionally, this paper will explore the potential impact of technologies such as artificial intelligence, machine learning, and blockchain. Ultimately, the paper aims to contribute to a deeper understanding of the implications and potential of these technologies, both in the context of transportation systems and beyond.

show abstract

Section: Fanetmentioning

confidence: 99%

The Evolution of Intelligent Transportation Systems: Analyzing the Differences and Similarities between IoV and IoFV

Herich,

Vaščák

2024

Drones

View full text Add to dashboard Cite

show abstract

“…VANETs are comprised of vehicles and road-side infrastructure that can communicate with each other within a network [176] [177]. The work of Albu-Salih in [178] illustrated this definition in a simple way. The difference between MANET, VANET, FANET and SANET can be seen in Figure 3.…”

Section: Aerial Networkingmentioning

confidence: 99%

Unmanned Aerial Vehicle Communications for Civil Applications: A Review

et al. 2022

View full text Add to dashboard Cite

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.

show abstract

“…The work helped to find the suitable routing protocol for unmanned aerial vehicles in all aspects. Albu‐Salih and Khudhair 13 proposed the Adaptive SDN‐based Routing (ASR) framework for flying ad hoc networks to solve the major issues such as frequent topology changes and intermittent links. The framework collected the location of flight nodes and link connectivity of flight nodes.…”

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

View full text Add to dashboard Cite

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.

show abstract

ASR-FANET: An adaptive SDN-based routing framework for FANET

Cited by 10 publications

References 26 publications

The Evolution of Intelligent Transportation Systems: Analyzing the Differences and Similarities between IoV and IoFV

The Evolution of Intelligent Transportation Systems: Analyzing the Differences and Similarities between IoV and IoFV

Unmanned Aerial Vehicle Communications for Civil Applications: A Review

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

Contact Info

Product

Resources

About