Researchers at the George H.W. Bush Combat Development Complex are investigating resilient real-time network architectures for autonomous vehicle communications. Their research addresses the difficulties with communication in increasingly complex battlefields.
Significant advances are needed for robust, reliable communication in highly dynamic, wireless, mobile networking environments where bandwidth demands can be encountered and communications can be contested by adversaries. Our novel framework ensures that information availability stays resilient during disruptive effects such as task reorganization, mobility of friendly forces, and adversarial attacks on friendly networks. These measures are anticipated in future tactical environments.
The objective of this research area is to develop algorithms, architectures and prototypes of an information network that support resilient information aggregation, dissemination, and retrieval across multiple locations with applications for real-time streaming, situational awareness, and command and control of autonomous vehicles.
Dr. P.R. Kumar
University Distinguished Professor O’Donnell Chair I, Electrical and Computer Engineering
Smarter combat vehicles = safer soldiers
To talk, text and get around, people use cellular towers, fiber-optic lines and a global system of satellites. On the battlefield, the military has to bring its own system. Texas A&M University researchers are testing communication systems, taking advantage of the agile experimenting process and their expertise in autonomous vehicles technology.
- M. Quigley, K. Conley, B. Gerkey, J. Faust, T., Foote, J. Leibs, R. Wheeler and A. Y. Ng, “ROS: an open-source Robot Operating System”. In ICRA workshop on open-source software, vol. 3, no. 3.2, pp. 5, May, 2009.
- U. Hunkeler, H.L. Truong, H.L. and A. Stanford-Clark, “MQTT-S—A publish/subscribe protocol for Wireless Sensor Networks”. In 2008 3rd IEEE International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE’08) (pp. 791-798). January 2008.
- L. Tassiulas and A. Ephremides, “Dynamic scheduling for minimum delay in tandem and parallel constrained queueing models,” Annals of Operation Research, vol. 48, pp. 333–355, 1993.
- N. Mckeown, V. Anantharam, and J. Walrand,“Achieving 100% throughput in an inputqueued switch,” in Proc. IEEE International Conference on Computer Communications (INFOCOM), San Francisco, CA, March 1996.
- L. Tassiulas and A. Ephremides, “Throughput properties of a queueing network with distributed dynamic routing and flow control,” Adv. Appl. Prob., vol. 28, pp. 285–307, 1996.
- F. P. Kelly, A. Maulloo, and D. Tan, “Rate control in communication networks: shadow prices, pro- portional fairness and stability,” Journal of the Operational Research Society, vol. 49, pp. 237–252, 1998.
- S. Shakkottai and A. Stolyar, “Scheduling for multiple flows sharing a time-varying channel: The exponential rule,” Ann. Math. Statist., vol. 207, pp. 185–202, 2000.
- X. Lin and N. Shroff, “The impact of imperfect scheduling on cross-layer rate control in wireless networks,” in Proc. IEEE INFOCOM., vol. 3, Miami, FL, March 2005, pp. 1804–1814.
- A. Eryilmaz and R. Srikant, “Fair resource allocation in wireless networks using queuelength-based scheduling and congestion control,” in Proceedings of IEEE INFOCOM, Miami, FL, 2005.
- A. Stolyar, “Maximizing queueing network utility subject to stability: Greedy primal-dual algorithm,” Queueing Syst. Theory Appl., vol. 50, no. 4, pp. 401–457, 2005.