CRI: IAD A Research and Education Infrastructure for Enabling Autonomic Sensor Grid Systems and Multidisciplinary Applications

Oklahoma State University, Stillwater OK

Investigators

Abstract

Proposal #: CNS 07-09329 PI(s): Li, Xiaolin Fierro, Rafael; Sarangan, Venkatesh; Solie, John B.; Thomas, Johnson Institution: Oklahoma State University Stillwater, OK 74078-1026 Title: IAD: Rsch & Educ Infr for Enabling Autonomic Sensor Grid Systems in Multidisciplinary Applications Project Proposed: This project, acquiring infrastructure to enable autonomic sensor grid systems (ASGS), integrates two emerging technologies, wireless sensor networks and grid computing. The large-scale sensor network and grid computing platform service the following research projects: . High-Throughput Networking Protocols; . An Autonomic Sensor Grid System Framework; . Collaborative Dynamic Tracking and Information Processing; . Intrusion Detection; and . Enabling Multidisciplinary Applications. The first project investigates techniques to enhance dynamic sensor network throughput while contributing to meet the emerging data intensive and high data rate requirements of many applications. The second designs, implements, and evaluates the ASGC framework that integrates sensor networks and grid computing technologies with self-managing capabilities providing self-managing middleware and user and programming interfaces for query, visualization, analysis, and physical discovery phenomena, and further command and control of actuators/robots for synergistic tasks in coordinated manners. The third develops high confidence coordination algorithms and tools for hybrid (static and motion-enabled) sensor networks and explores power-aware collaborative information processing techniques. The fourth investigates attack modeling and analysis, large-scale intrusion detection and tracing, and deceiving attackers' techniques. The fifth includes Precision Agriculture and Ranching, Protective Clothing, Vehicle Navigation, Homeland Security, Environmental Monitoring, and Rapid Disaster Recovery. Broader Impacts: The infrastructure contributes in the development of new courses, recruiting under-represented/minority students, outreach and minority participation, and technology transfer to industry. The new courses include Cooperative Robotic Networks, Sensor Networks, Embedded Systems, and Grid Computing. Plans include involving Native Americans and Langston University, an HBCU. Moreover, the facility contributes to broaden education and research in an EPCSoR state. Precision agriculture in crop and livestock production appears to be an interesting and useful application for the state.