Overview Publications People Acknowledgements
SPAWN: Scalable Protocols for Autonomous Wireless Networks
of Sensor-Actuator Devices
 SPAWN logo
Overview
Autonomous sensing-actuation applications will use sensors to observe the world around them, process the data they gather to reach conclusions and make decisions, and use actuators to affect the world on the basis of those decisions, all potentially without any human involvement. These applications significantly extend the scope of today's sensor networks, which are used primarily to ease data collection for offline analysis by humans. The goal of this project is to design and build a data-centric software infrastructure and pertinent abstractions, mechanisms and protocols that significantly simplify the structuring and implementation of robust and efficient autonomous applications across multiple heterogeneous networks. Current research topics include quality-based source and alternative model selection and complex event detection.
Publications
  • Data-Centric Visual Sensor Networks for 3D Sensing.
    M. Akdere, U. Cetintemel, D. Crispell, J. Jannotti, J. Mao, G. Taubin. In GeoSensor'06.
  • A Comparison of Epidemic Algorithms in Wireless Sensor Networks.
    M. Akdere, C. Bilgin, O. Gerdaneri, I. Korpeoglu, O. Ulusoy, U. Cetintemel. In Computer Communications Journal, "Special Issue on Wireless Sensor Networks”, Vol 29 (13-14), 2006.
People
Acknowledgements
This project is based upon work supported by the National Science Foundation under Grant No. 0325703 and 0448284. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.