Do-not-disturb: An Application Leveraging Heterogeneous Sensor Networks

Overview

A modern corporate workspace, consisting of matrix of cubicles on a large floor, does not provide isolation from noise. Impromptu meetings in hallways or a neighbor talking loud on the phone are distractions faced by employees throughout the day. Noise becomes a distraction when loud sound reaches a person who is working in a cubicle. ``Do Not Disturb'' (DND) is a sensor networking application designed to address distracting noise in a corporate workspace. The system alerts people who are talking loud and may be causing distraction to co-workers in neighboring cubicles. DND is an example application for which we designed and built technologies to leverage processing heterogeneity in a sensor network.

People

• Omprakash Gnawali
• Mark Yarvis

Publications

Omprakash Gnawali and Mark Yarvis, ``Do Not Disturb'', An Application Leveraging Heterogeneous Sensor Networks, demonstration presented at ACM SenSys 2003. Also as USC Computer Science Department Technical Report 03-808.

Omprakash Gnawali and Mark Yarvis, ``Shh! Take Your Conversation Elsewhere: Exploiting Heterogeneity with Directed Diffusion (poster),'' Center for Embedded Networked Sensors, First Annual Research Review, October 2003.

Screenshots from the demonstration at ACM SenSys 2003