GUANQUN YANG

   Ph.D. Student, Minor in Statistics, ( 2005 - Present)  Short Bio

   B.S. University of Science and Technology of China, 2005

   Contact

   3209 Coover Hall
   Department of Electrical and Computer Engineering
   Iowa State University
   Ames, IA 50010
 

   E-mail address:

 

 

 

 

 

 

 

   

   

 

 

"Any intelligent fool can make things bigger, more complex, and more violent. It takes a touch of genius -- and a lot of courage -- to move in the opposite direction."----Albert Einstein.

 

 

 

 

 

 

 

 

 

 

     Research Interests (current work)

  • Coverage and connectivity in sensor networks

  • Data aggregation, storage and information collection in sensor networks

  • Mobility in sensor networks

    Publications

  • Guanqun Yang, Wei Zhou and Daji Qiao, "Defending Against Barrier Intrusions Using Mobile Sensors" In Proc. WASA 2007, Chicago, IL, USA, Aug. 1-3, 2007. [PDF]

  • Guanqun Yang, Bin Tong, Daji Qiao and Wensheng Zhang, "Sensor-aided Overlay Deployment and Relocation for Vast-scale Sensor Networks",  In Proc. IEEE Infocom 2008 Mini-conference. [PDF] (Acceptance rate < 28%)

  • Guanqun Yang, Vinod Shukla and Daji Qiao, "A Novel On-demand Framework for Collaborative Object Detection in Sensor Networks", In Proc. IEEE Infocom 2008 Mini-conference. [PDF] (Acceptance rate < 28%)

  • Guanqun Yang, Vinod Shukla and Daji Qiao, "Analytical Study of Collaborative Information Coverage for Object Detection in Sensor Networks", In Proc. IEEE SECON 2008. [PDF] (Acceptance rate < 21%)

  • Guanqun Yang and Daji Qiao, "Critical Conditions for Connected-k-Coverage in Sensor Networks", In IEEE Communications Letters, vol. 12, no. 9, September 2008 [PDF]

  • Wei Mo, Guanqun Yang and Daji QIao, "Analytical Study of Sensor Network Lifetime under Connected-k-Coverage Constraint", under revision.

  • Guanqun Yang and Daji Qiao, "Barrier Information Coverage with Wireless Sensors", submitted to conference review.

     Technical Reports

  • Guanqun Yang, Bin Tong, Daji Qiao and Wensheng Zhang, "Sensor-aided Overlay Deployment and Relocation for Vast-scale Sensor Networks", [Technical Report ]

  • Guanqun Yang, Vinod Shukla and Daji Qiao, "Analytical Study of Collaborative Information Coverage for Object in Sensor Networks", [Technical Report ]

  • Guanqun Yang, Vinod Shukla and Daji Qiao, "A Novel On-demand Framework for Collaborative Object Detection in Sensor Networks", [Technical Report ]

  • Wei Mo, Guanqun Yang and Daji Qiao, "Analytical Study of Sensor Network Lifetime under Connected-k-Coverage Constraint", [Technical Report ]

  • Guanqun Yang and Daji Qiao, "Critical Conditions for Connected-k-Coverage in Sensor Networks", [Technical Report ]

  • Guanqun Yang and Daji Qiao, "Barrier Information Coverage with Wireless Sensors", [Technical Report ]

    Awards and Grants

  • Graduate Research Innovation and Progress Award, ECpE Department, Iowa State University, 2007.

  • ACM/IEEE IPSN NSF/SAP Student Travel Grants, 2008.

  • Professional Advancement Grant, College of Engineering, Iowa State university, 2008.

  • IEEE SECON Student Travel Grants, 2008

    Professional Services

  • Journal Reviewer: IEEE/ACM Transactions on Networking

  • Conference Reviewer: IEEE INFOCOM 2008, IEEE SECON 2008, ICCCN 2007,

    IEEE/Create-Net /ICST COMSWARE 2007.

    Selected Graduate Coursework

        Information Warfare

        Advanced Protocols and Network Security

        Probabilistic Methods in Computer Engineering

        Computer Communication Networks
        Mobile and Pervasive Computing

        Theory of Probability & Statistics
        Wireless Network Architecture

        Computer System Performance
        Wireless Sensor Networks

        Statistics Theory for Researchers

    Project Demo

        goGarcia!  (Final project in CprE 594 Mobile & Pervasive Computing, Fall 2007)     

Brief Description

goGarcia is a target tracking demo system consisting of a wireless sensor network and a WLAN. Once an event is detected and reported by sensors, the base station will dispatch a robot to approach the event location. The wireless sensor network will also navigate the robot.