Multi-Resolution Data Fusion using Agent-Bearing Sensors in Hierarchically-Organized Sensor Networks (MU-FASHION)

Lead Institution: Duke University

Principal Investigator: Krishnendu Chakrabarty, Duke University

Other Principal Investigators: Professor S. S. Iyengar (subcontract to Louisiana State University), Professor Hairong Qi (subcontract to the University of Tennessee)

Graduate Students

• Vishnu Swaminathan (Duke)
• Charles (Chaz) Schweizer (Duke)
• Xiaoling Wang (University of Tennessee)
• Yingyue Xu (University of Tennessee)
• Yuxin Tian (University of Tennessee)
• Teja Phani Kurugan (University of Tennessee)
• Qishi Wu (Louisiana State University)
• Lei Xu (Louisiana State university)

Sponsor: DARPA/ITO SensIT Program

Project Summary

This project is aimed at developing several key enabling technologies for distributed sensor networking. Topics being investigated under this grant include:

• Sensor data fusion, multi-resolution and fault-tolerant signal integration algorithms
• Active signal integration using mobile agents
• Sensor deployment algorithms for surveillance and target location
• Lightweight, energy-efficient real-time operating systems

This page was last updated on January 13, 2002.

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