An optimization routing protocol for FANETs
Протокол оптимизации маршрутизации для FANET
2019-05-16
SCID: 54.1/588jpx6h
Discuss with AI
Dynamic Source Routing (DSR)FANETsNS-3 simulationcontinuous Hopfield neural networkpacket delivery ratio
Figures from the paper
Abstract (AI)
With the wide-ranging application of mobile ad hoc networks, flying ad hoc networks (FANETs) have received more and more attention from the industry. Routing technology is a key technology of ad hoc networks. The high-speed mobility of nodes poses a greater challenge to FANET routing technology. Based on the Dynamic Source Routing (DSR) protocol, the continuous Hopfield neural network is used to optimize the route to be adapted to the high-speed movement of the FANET node. In a simulation using NS3, the result shows that the optimized DSR protocol has greatly improved key indicators such as end-to-end average delay, throughput, and packet delivery ratio.
Key Findings
1
NS3 simulations show that optimized DSR substantially improves average end-to-end delay, throughput, and packet delivery ratio.
2
The optimized protocol demonstrates improved FANET routing performance compared with the original DSR protocol, although specific numerical gains are not reported.
3
The proposed optimization targets routing challenges caused by the high-speed mobility of flying ad hoc network nodes.
4
The study optimizes Dynamic Source Routing for FANETs by integrating a continuous Hopfield neural network.
Research Object
flying ad hoc networks (FANETs) with high-speed mobile nodes
Research Subject
the routing performance of an optimized Dynamic Source Routing (DSR) protocol, including end-to-end average delay, throughput, and packet delivery ratio
Publication Details
Publication Date
2019-05-16
Journal
Publisher
ISSN
Open access PDF
Access Type
Author Information
Download PDF
Subscribe to digest