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Wireless Networks

Wireless Networks. Wireless Networks: Critical Research Issues. Resource management for ad hoc, sensor and mesh networks Security and fault tolerance Cognitive networks: architecture and implementation Multimedia over wireless Cross-layer optimization

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Wireless Networks

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  1. Wireless Networks

  2. Wireless Networks:Critical Research Issues • Resource management for ad hoc, sensor and mesh networks • Security and fault tolerance • Cognitive networks: architecture and implementation • Multimedia over wireless • Cross-layer optimization • Land mobile radio networks and public safety applications

  3. Wireless Networks:Wireless @ Virginia Tech Projects • Fault-tolerance and change management in sensor networks • Attack-resilient routing protocols for MANETs • Mobile Ad-hoc Networking Interoperability and Cooperation (MANIAC) Challenge • Video communications over ad hoc networks • Cognitive networks • Wireless resource management

  4. Wireless Resource Management • Faculty: Yaling Yang • Funding: Startup • Description: We are developing resource management schemes in dynamic wireless systems that intelligently manage critical system resources so that the system performances in terms of throughput and delay can be optimized. Read more: Yaling Yang, “Distributed Resource Allocation in Content-based Wireless Networks”, Ph.D. thesis, http://www.ece.vt.edu/yyang8/papers/thesis.pdf

  5. Cognitive Networks • Faculty: L. A. DaSilva, A. B. MacKenzie • Funding: NSF, DARPA (pending) • Description: we are developing cognitive networks, capable of perceiving current network conditions and then planning, learning, and acting according to end-to-end goals. Read more: R. Thomas et al., “Cognitive networks: adaptation and learning to achieve end-to-end performance objectives,” IEEE Communications Magazine, Dec. 2006

  6. MANIAC Challenge • Faculty: L. A. DaSilva, A. B. MacKenzie • Funding: NSF • Description: We are designing and organizing an international competition to study cooperation and interoperability in ad hoc networks Find out more: www.maniacchallenge.org

  7. Topology Control for MANETs • Faculty: Luiz A. DaSilva • Funding: ONR • Description: Topology control leverages transmit power control to generate network topologies with higher effective network capacity and increased network lifetime. We have designed and implemented a distributed topology control mechanism for MANETs. Learn more: W. de Sousa et al., “Topology Control in Ad Hoc Networks,” IEEE SECON 2006 (demonstration), Sept. 2006

  8. Cooperation-Aware Topology Control • Faculty: L. A. DaSilva, A. B. MacKenzie • Funding: ONR • Description: We investigate distributed incentives for cooperation among selfish nodes in topology control for ad hoc networks Read more: V. Srivastava et al., “Using Game Theory to Analyze Wireless Ad Hoc Networks,” IEEE Communications Surveys and Tutorials, vol. 7, no. 4, pp. 46-56, 4th quarter 2005.

  9. Service-Oriented Sensor-Actuator Networks • Faculty: Mohamed Eltoweissy • Description: We introduce service-oriented sensor-actuator networks (SOSANETS) as a new architectural and querying paradigm for sensor-actuator networks. SOSANETs expose their sensing and actuation capabilities in the form of services that may be invoked by any application. We focus on several issues including service-driven, trust-based query routing and cross-layer query optimization. Read more: A. Rezgui and M. Eltoweissy, Service-Driven Query Routing in Sensor Networks, Proc. of the 1st IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp), November 2006, Tampa, Florida, USA. A. Rezgui and M. Eltoweissy, A Service-oriented Query Architecture for Sensor-Actuator Networks, Poster presented at the 3rd Annual IEEE Conf. on Sensor, Mesh, and Ad Hoc Communications and Networks, (SECON), September 2006, Reston, Virginia, USA.

  10. In-Network Fault Tolerance in Networked Sensor Systems • Faculty: Mohamed Eltoweissy • Description: NSS are more prone to failure than other wireless networks. Energy-aware fault tolerant mobile sink node may help NSS meet dependability and QoS requirements while conserving energy. We apply in-network data checkpointing and recovery in order to achieve high QoS with minimum energy overhead. For more details: http://filebox.vt.edu/users/imostafa/research/abstracts.htm

  11. Change Management in Networked Sensor Systems • Faculty: Mohamed Eltoweissy • Description: As a result of environmental and system changes and evolution, NSS that work unattended need to dynamically self-configure. Also, the schemes running n the NSS such as security and fault tolerance schemes need to adapt to these changes. Towards achieving these goals, we propose a new change management framework and middleware. Within the framework, a learning and refinement module is employed for enhanced response. • Change Management Cycle in NSS

  12. POCKET: A Technical and Behavioral Concept for Protecting Children's Online Privacy • Faculty: M. Hsiao, J.-M. Park, J. Hiller, and F. Belanger • Funding: NSF • Description: As a group, children use the Internet more than any other demographic set in the USA. With estimates suggesting that 77 million children soon will be using the Internet, and with the escalating threat of phishing scams in recent years, effective protection of children's privacy in cyberspace is a pressing trustworthiness issue. The goal of this research is to advance the availability of sophisticated, reliable and cost effective technology for obtaining verifiable parental consent, thereby protecting children's online privacy. Read more: http://www.physorg.com/news8821.html

  13. Attack-Resilient Routing Protocols for Mobile Ad Hoc Networks • Faculty: J.-M. Park • Funding: Samsung Electronics • Description: The goal of this project is to study and demonstrate the technical feasibility of a novel routing architecture for MANETs that is resilient against a wide range of routing disruption attacks, including insider and "protocol compliant" attacks. Read more: R. Chen et al., “Defending against routing disruption attacks in mobile ad hoc networks,” GLOBECOM ’06, Nov. 2006.

  14. Wireless Sensor Networks • Faculty: Thomas Hou • Funding: NSF • Description: We are developing routing algorithms that optimize network lifetime performance for sensor networks that are deployed for surveillance applications. We focus a tiered sensor network architecture for scalability. Read more: T. Hou, et al., “On node lifetime problem for energy-constrained wireless sensor networks,” ACM/Springer Mobile Networks and Applications (MONET), vol. 10, no. 6, pp. 807-809, December 2005.

  15. Video Communications over Ad Hoc Networks • Faculty: Thomas Hou • Funding: DoD • Description: We are developing cross-layer technologies to support video communications over dynamic ad hoc networks. Our novel approach is to exploit multipath routing and multiple description video coding. Read more: S. Mao, Y.T. Hou, et al., “On routing for multiple description video over wireless ad hoc networks,” IEEE Transactions on Multimedia, vol. 8, no. 5, pp. 1063-1074, October 2006.

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