SecRIP : Secure and reliable intercluster routing protocol for efficient data transmission in flying ad hoc networks

The flying ad‐hoc network (FANET) is a self‐configured, rapidly deployable network for a variety of time‐critical applications such as military and disaster relief operations. Most mobility models view FANETs as dense networks leading to unrealistic network scenarios and may not provide real‐world results. Unmanned aerial vehicles (UAVs) may not always be connected due to low battery, malfunction, budget constraints, or the nature of the application. Existing mobility models do not work in realistic FANET scenarios, that is, sparse FANETs, and simulate the model in a two‐dimensional domain. To address the issues, a novel mobility model has been proposed for military operations in sparse FANETs. This is the first paper that addresses the issue of sparse networks as well as implementing the proposed work in the simulator in three‐dimensional space. The proposed UAV‐sink enabled mobility model (US‐MM) increases the network performance without impeding the mobility of UAVs as UAVs perform critical functions in military operations. The simulation has been done using NS‐3.25. The obtained results show the efficiency of our proposed model which achieves increased network connectivity and stability of UAV's connection to the base station in the sparse FANETs.

Section: F I G U R E 1 a Sparse Flying Ad-hoc Network In Which Autono...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel unmanned aerial vehicle‐sink enabled mobility model for military operations in sparse flying ad‐hoc network

Agrawal

Kapoor

Tomar

2022

“…Although UAVs have introduced several innovations in the communication system; however, at the same time, they are vulnerable to protection, stability, and privacy concerns 84,85 . Broadly, these attacks could be from communication‐layer, sensors, or multi‐UAVs security and privacy 86 .…”

Section: State‐of‐the‐artmentioning

confidence: 99%

The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges

Khan

Naseem

Siraj

et al. 2021

Next‐generation wireless communication networks, in particular, the densified 5G will bring many developments to the existing telecommunications industry. The key benefits will be the higher throughput and very low latency. In this context, the usage of unmanned aerial vehicle (UAV) is becoming a feasible option for deploying 5G services on demand. At the same time, the immense bandwidth potential of mmWave has strengthened its performance in radio communication. In this article, we provide a consolidated synthesis on the role of UAVs and mmWave in 5G, emphasis on recent developments and challenges. The review focuses on UAV relay architectures, identifies the relevant problems and limitations in the deployment of UAVs using mmWave in both access and backhaul links simultaneously. There is a critical analysis of the optimum placement of the UAVs as a relay with a focus on the mmWave band. The distinctive rich characteristics of the mmWave propagation and scattering are presented. We also synthesis mmWave path loss models. Then, the scope of artificial intelligence and machine learning techniques as an efficient solution for combating the dynamic and complex nature of UAV‐based cellular communication networks are discussed. In the end, security and privacy issues in UAV‐based cellular network are spotlighted. It is believed that the literature discussed, and the findings reached in this article are of significant importance to researchers, application engineers and decision‐makers in the designing and deployment of UAV‐supported 5G network.

“…The authors in References 24,25 introduce a secure and efficient clustering mechanism. The mechanism is based on CH selection to reduce overhead and improve stability.…”

Section: Related Workmentioning

confidence: 99%

A performance‐aware routing mechanism for flying ad hoc networks

Ali

Islam

Song

et al. 2020

Flying ad hoc networks (FANETs) are visioned to unlock the potential of the Internet of Drones in various application scenarios like surveillance, agriculture, health care, disaster management, and rescue operations. As the unmanned aerial vehicles possess fast movements and frequent topological variations, selection of the next hop, self‐adaptation, and avoidance of dissemination loops have proven to be the challenging issues that have a considerable impact on the performance of a FANET. We propose a performance‐aware routing mechanism, G‐OLSR, for efficient communication and collaboration among the unmanned aerial vehicles in a FANET environment. The self‐adaptation of the network in case of any topological changes is considered in the proposed mechanism. Moreover, the proposed mechanism avoids the dissemination loops and it, consequently, improves the performance of the network. The simulation results show that the proposed mechanism performs better in terms of delay, message overhead, packet delivery ratio, and throughput than Optimized Link State Routing.