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Proceedings Paper

Dynamic autonomous routing technology for IP-based satellite ad hoc networks
Author(s): Xiaofei Wang; Jing Deng; Theresa Kostas; Gowri Rajappan
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Paper Abstract

IP-based routing for military LEO/MEO satellite ad hoc networks is very challenging due to network and traffic heterogeneity, network topology and traffic dynamics. In this paper, we describe a traffic priority-aware routing scheme for such networks, namely Dynamic Autonomous Routing Technology (DART) for satellite ad hoc networks. DART has a cross-layer design, and conducts routing and resource reservation concurrently for optimal performance in the fluid but predictable satellite ad hoc networks. DART ensures end-to-end data delivery with QoS assurances by only choosing routing paths that have sufficient resources, supporting different packet priority levels. In order to do so, DART incorporates several resource management and innovative routing mechanisms, which dynamically adapt to best fit the prevailing conditions. In particular, DART integrates a resource reservation mechanism to reserve network bandwidth resources; a proactive routing mechanism to set up non-overlapping spanning trees to segregate high priority traffic flows from lower priority flows so that the high priority flows do not face contention from low priority flows; a reactive routing mechanism to arbitrate resources between various traffic priorities when needed; a predictive routing mechanism to set up routes for scheduled missions and for anticipated topology changes for QoS assurance. We present simulation results showing the performance of DART. We have conducted these simulations using the Iridium constellation and trajectories as well as realistic military communications scenarios. The simulation results demonstrate DART’s ability to discriminate between high-priority and low-priority traffic flows and ensure disparate QoS requirements of these traffic flows.

Paper Details

Date Published: 3 June 2014
PDF: 11 pages
Proc. SPIE 9085, Sensors and Systems for Space Applications VII, 90850P (3 June 2014); doi: 10.1117/12.2049902
Show Author Affiliations
Xiaofei Wang, Foresight Wireless, LLC (United States)
Jing Deng, Univ. of North Carolina at Greensboro (United States)
Theresa Kostas, Foresight Wireless, LLC (United States)
Gowri Rajappan, Foresight Wireless, LLC (United States)


Published in SPIE Proceedings Vol. 9085:
Sensors and Systems for Space Applications VII
Khanh D. Pham; Joseph L. Cox, Editor(s)

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