Asset Details
Do you wish to reserve the book?
Geographic routing based on path-weighted in aeronautical ad hoc networks
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Geographic routing based on path-weighted in aeronautical ad hoc networks
Do you wish to request the book?
Geographic routing based on path-weighted in aeronautical ad hoc networks
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Geographic routing based on path-weighted in aeronautical ad hoc networks
2025
Overview
The high-speed movement of aircraft and the rapid topology changes in aeronautical ad hoc networks (AANET) pose significant challenges to existing routing protocols regarding delay and packet delivery rate. To address the issues of high delay and low packet delivery rate at the routing layer, a geographic routing protocol based on path-weighed (GPWR) is proposed. The protocol utilizes the ADS-B system and beacon messages to establish and maintain the neighbor node status table. Then it evaluates the relative forwarding metric using three factors: Euclidean distance, node connectivity, and node load capacity. Following the criterion of maximizing relative forwarding metric, the aircraft with the maximum relative forwarding metric is selected as the next-hop forwarding node. Finally, using the North Atlantic air routes as the simulation scenario, the simulation system was designed and implemented in OMNeT++. Comparative experiments were conducted between GPWR and Greedy Perimeter Stateless Routing (GPSR). Simulation results demonstrate that, compared with GPSR, GPWR reduces the average end-to-end delay by 22.34% and improves the PDR by 6.54%.
Publisher
IOP Publishing
Subject
