학술논문

Q-FANETGS-BS: A Six-State Routing Model in FANET for Performing Efficient Data Transfer
Document Type
Original Paper
Source
Wireless Personal Communications: An International Journal. 135(4):2145-2164
Subject
Flying ad hoc network
Network performance analysis
Noise reduction
Q-learning
Reinforcement learning
Routing protocol
Unmanned ariel vehicle
Language
English
ISSN
0929-6212
1572-834X
Abstract
The advancement in the research of wireless network technology, paved the way for the advent of Flying Ad hoc Network (FANET). FANET is formed with a team of unmanned flying nodes, termed as Unmanned Ariel Vehicle (UAV). UAV is highly mobile in nature. This dynamicity may increase difficulty in establishing connection between the nodes. Thus, in turn, increases the chances of having a higher rate of unsuccessful data transfers. An efficient routing protocol is the only solution for the problem. The goal of a routing protocol is to obtain more successful data transfers. Its design methodology mainly focuses on detecting the most stable neighboring hops so that a stable path can be obtained for data transfer. The establishment of a stable path, also, depends on the factor of noise. More the degree of noise, lesser the stability. So, detection of noise is also an important factor. But, after a thorough study of the present routing protocols, it is observed that most of them do not focus much on the detection of noise. In this research article, a novel routing protocol, Q-FANETGS-BS is presented. The mentioned protocol is a six-state model which bears an improvised noise detection component, which helps in obtaining a stable path with higher capacity, for carrying the data. This, in turn, increases the performance of the FANET in terms of throughput, end-to-end delay and jitter.