UAV aided intelligent routing for ad-hoc wireless network in single-area theater
- 11 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 1220-1225
- https://doi.org/10.1109/wcnc.2000.904805
Abstract
Large homogeneous ad hoc wireless networks have a prob- lem: the bandwidth available to an mobile user decreases as the number of nodes in the network increases. Using the embedded ad-hoc networking mechanism, nodes are able to transport packets across the network in a multihop fashion. An embedded mobile backbone is dynamically constructed to form 2-level physical heterogeneous multihop wireless net- work. These backbone nodes provide two critical functions: (1) direct communication between neighboring cluster heads. (2) efficient route discovery in HSR. With the broadcast fea- ture of UAV, Link state can be broadcasted to backbone nodes instead of "flooding" on the level 2. Thus, routing overhead can be tremendously reduced, throughput will be improved. We modified Hierarchical State Routing to have an intelli- gent selection algorithm to reduce the system latency caused by long propagation delay of UAV channel. The performance of the system is evaluated through simulation experiments.Keywords
This publication has 7 references indexed in Scilit:
- Dynamic Source Routing in Ad Hoc Wireless NetworksPublished by Springer Nature ,2007
- A wireless hierarchical routing protocol with group mobilityPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Theater wideband communicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Performance comparison of two on-demand routing protocols for ad hoc networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The capacity of wireless networksIEEE Transactions on Information Theory, 2000
- Scalable routing strategies for ad hoc wireless networksIEEE Journal on Selected Areas in Communications, 1999
- Parsec: a parallel simulation environment for complex systemsComputer, 1998