NSF Award Abstract - #0430223| NSF Award Abstract - #0430223 |
| NSF Org | CNS |
| Latest Amendment Date | September 22, 2004 |
| Award Number | 0430223 |
| Award Instrument | Continuing grant |
| Program Manager |
Joseph B. Evans CNS Division of Computer and Network Systems CSE Directorate for Computer & Information Science & Engineering |
| Start Date | October 1, 2004 |
| Expires | September 30, 2005 (Estimated) |
| Awarded Amount to Date | $50583 |
| Investigator(s) | Peng Ning pning@ncsu.edu (Principal Investigator) |
| Sponsor |
North Carolina State University 2701 Sullivan Dr., Suite 240 Raleigh, NC 27695 919/515-2444 |
| NSF Program(s) | ITR-CYBERTRUST |
| Field Application(s) | 0000912 Computer Science |
| Program Reference Code(s) |
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| Program Element Code(s) |
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Collaborative Research: Trustworthy and Resilient Location Discovery in Wireless Sensor Networks Peng Ning, North Carolina State University Wenliang Kevin Du, Syracuse University Award 0430223 Abstract Sensor networks are ideal candidates for a wide range of applications such as health monitoring and military operations. Sensors' locations play a critical role in numerous sensor network applications. There have been substantial advances in location discovery for sensor networks in the past. However, location discovery in hostile environments has been mostly overlooked. Due to the lack of solutions to prevent, detect, or survive malicious attacks, all of the existing location discovery protocols become vulnerable in hostile environments. The objective of this project is to develop a comprehensive suite of techniques to prevent, detect, or survive malicious attacks against location discovery in sensor networks. The investigators are studying key management schemes suitable for authenticating beacon messages, exploring techniques to make existing location discovery schemes more resilient, seeking beaconless location discovery that uses deployment knowledge instead of beacon nodes, and finally investigating methods to integrate the proposed techniques so that they can be combined cost-effectively for sensor network applications. This project will have significant impact on the sensor network research by providing specific technical solutions that can be integrated with the sensor network techniques currently being developed, so that sensor network applications are developed with inherent, built-in security.