Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
8-2014
Abstract
Airborne networks have potential applications in both civilian and military domains - such as passenger in-flight Internet connectivity, air traffic control and in intelligence, surveillance and reconnaissance (ISR) activities. However, airborne networks suffer from frequent disruptions due to high node mobility, ad hoc connectivity and line-of-sight blockages. These challenges can be alleviated through the use of disruption-tolerant networking (DTN) techniques. In this paper, we propose GTA-m, a multi-copy greedy trajectory-aware routing protocol for airborne networks. GTA-m employs DTN capabilities and exploits the use of flight information to forwarded bundles greedily to intended destination(s). To alleviate the local minima issues that are inherent in greedy algorithms, GTA-m allows m ≥ 1 copies of each bundle to be replicated throughout the entire network. We study the performance of GTA-m by simulating flights with varying numbers of aircraft and ground stations. Through simulations in OPNET, we show that GTA-m improves the average bundle delay by 34% and 52% as compared to conventional DTN routing protocols such as Spray-and-Wait and Epidemic respectively.
Keywords
airborne networks, delay/disruption tolerant networking, trajectory awareness
Discipline
Databases and Information Systems | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
AIRBORNE '14: Proceedings of the third ACM workshop on Airborne networks and communications, Philadelphia, August 11
First Page
3
Last Page
8
ISBN
9781450329859
Identifier
10.1145/2636582.2636828
Publisher
ACM
City or Country
New York
Citation
MA, Xiaoping; TAN, Hwee Xian; and VALERA, Alvin C..
GTA-m: Greedy Trajectory-Aware (m copies) routing for airborne networks. (2014). AIRBORNE '14: Proceedings of the third ACM workshop on Airborne networks and communications, Philadelphia, August 11. 3-8.
Available at: https://ink.library.smu.edu.sg/sis_research/4233
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/2636582.2636828