Joengmin Hwang


Joengmin's picture
Department of Computer Science
University of Minnesota
4-192 EE/CS Building
200 Union Street SE
Minneapolis, MN 55455                                                                                                                                

Phone: (612)532-0845             
Email: jhwang AT cs DOT umn DOT edu

[ Research Interests | Publications | Projects | CV ]

Ph.D. in computer science with emphasis on Sensor Embedded Systems and Network Security.



Research Interests

I am broadly interested in wireless network and network security, with a specific interest in wireless sensor networks.
The specific problems I considered in the past include coverage problem in wireless sensor networks; localization over 802.11 wireless networks, localization system using wireless sensor networks, and localization in the presence of attackers; distributed embedded systems and smart devices; wireless networks and network security in general



Publications

Exploring In-Situ Sensing Irregularity in Wireless Sensor Networks.
by Joengmin Hwang, Tian He and Yongdae Kim.
In IEEE Transactions on Parallel and Distributed Systems (TPDS), 2010, Vol.21(4), pp. 547-561.

A Framework for Discovering Spatio-Temporal Cohesive Networks.
by Jin Soung Yoo and Joengmin Hwang.
In Proceedings of the 9th International Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’08), pp. 1056-1061.

Secure Localization with Phantom Node Detection,
by Joengmin Hwang, Tian He, and Yongdae Kim
In Elsevier Journal of Ad Hoc Networks, 2008, Vol.6(7), pp. 1031-1050.

Exploring In-Situ Sensing Irregularity in Wireless Sensor Networks,
( more in Projects )
by Joengmin Hwang, Tian He, and Yongdae Kim.
In Proceedings of the 5th ACM International Conference on Embedded Networked Sensor Systems (SenSys), November 6-9, 2007, Sydney, Australia, Acceptance rate 16%.

uSense: A Unified Asymmetric Sensing Coverage Architecture for Wireless Sensor Networks,
by Yu Gu, Joengmin Hwang, Tian He, and David Hung-Chang Du.
In Proceedings of the 27th IEEE International Conference on Distributed Computing Systems (ICDCS), June 25-29, 2007, Toronto, Ontario, Canada, Acceptance rate 13%.

Detecting Phantom Nodes in Wireless Sensor Networks,
by Joengmin Hwang, Tian He, and Yongdae Kim.
In Proceedings of the 26th IEEE International Conference on Computer Communications (INFOCOM), Mini-Symposiums, May 6-12, 2007, Anchorage, Alaska, USA, Pages 2391-2395, Acceptance rate for INFOCOM main track was 18%, the next ranked 7% were selected for Mini-Symposiums.

Realistic Sensing Area Modeling,
by Joengmin Hwang, Yu Gu, Tian He, and Yongdae Kim.
In Proceedings of  the 26th IEEE International Conference on Computer Communications (INFOCOM), Mini-Symposiums, May 6-12, 2007, Anchorage, Alaska, USA. Pages 2421-2425, Acceptance rate for INFOCOM main track was 18%, the next ranked 7% were selected for Mini-Symposiums.

Achieving Realistic Sensing Area Modeling,
by Joengmin Hwang, Tian He, and Yongdae Kim.
In Proceedings of the 4th ACM International Conference on Embedded Networked Sensor Systems (SenSys), Poster, October 31 - November 3, 2006, Boulder, Colorado, USA, Pages 415-416.

Energy Efficient Organization of Mobile Sensor Networks,
by Joengmin Hwang, David Hung-Chang Du and Ewa Kusmierek.
In Journal of Parallel Algorithms Appl. 2005. Vol. 20(3-4), Pages 221-233.

Revisiting Random Key Pre-distribution Schemes for Wireless Sensor Networks
by Joengmin Hwang, and Yongdae Kim.
In Proceeding of ACM Workshop on Security of Ad Hoc and Sensor Networks (SASN) held in conjunction with the 11th ACM Conference on Computer and Communications Security (CCS),  October 25, 2004, Washington, DC, USA, Pages 43-52.

Energy Efficient Organization of Mobile Sensor Networks,
by Joengmin Hwang, David Hung-Chang Du and Ewa Kusmierek.
In Proceedings of the 33rd International Conference on Parallel Processing Workshops (ICPP Workshops), August 15-18, 2004, Montreal, Quebec, Canada, Pages 84-91.

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Projects (selected...)

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SAM: Sensing Area Modeling


In this project, we designed the systems to capture the irregular sensing coverage, and we also developed the high-accuracy low-cost coverage scheduling algorithms.

Above three pictures - experiments with MicaZ motes with light sensors.



Below three pictures - experiments with XSM motes with PIR motion sensors. Motes were placed in the library. After the system run, the similary graph about motes' sensing abilities was created as shown on the plane.
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