Paper Info
Title
Coverage Analysis of Random UAV Networks Using Percolation Theory
Abstract
A key requirement of an Unmanned Aerial Vehicular (UAV) Network (UN) is maintaining and ensuring network coverage. However, the network architecture of the UN can be intricate, thus, it is challenging to maintain and ensure the network coverage. In this paper, we have derived the critical node density of coverage of the UNs using the percolation theory considering both homogenous and heterogenous wireless nodes. At first, the theoretical findings have been verified with the extensive simulation considering static nodes. Next, the theoretical findings have been verified with the simulation considering mobile nodes. In order to do so, we adopted the comprehensive mobility model (i.e., CMM) for UNs, where the mobility of the UAV node is presented as a Gauss-Markov process comprising of three key parameters - the speed, angular velocity, and pitch angle. Finally, by analyzing the theoretical analysis and simulation results, it has been affirmed that the proposed model can be used to estimate the critical node density to ensure the desired network coverage of UNs.
Year
DOI
Venue
2020
10.1109/ICNC47757.2020.9049663
2020 International Conference on Computing, Networking and Communications (ICNC)
Keywords
DocType
ISSN
UAV network,coverage analysis,percolation theory.
Conference
2325-2626
ISBN
Citations 
PageRank 
978-1-7281-4906-6
1
0.35
References 
Authors
8
3
Name
Order
Citations
PageRank
Md Nashid Anjum110.35
Honggang Wang21365124.06
Hua Fang334332.48