Yale November 18, 2003

Self-Configuring Wireless Sensor Networks Andreas Savvides EE & CS Departments Yale University

Embedded Networks and Applications Lab 2 graduate students and 2 undergraduates Lab focus –Embedded networks applications & protocols –Investigate high impact innovative sensor network applications & in-situ evaluations Blend of protocols, algorithms and hardware design

Server Space & Equipment Storage Developer Station 1 Developer Station 2 Developer Station 3 Instrument bench Tools bench Desk 1Desk 2Desk 3 Shared Workstation w/ CAD tools Simulation tools, Data Acquisition Senior Design Project Desks and workstation Open Floor Testbed Space (Mobile and Robotic Nodes) whiteboard Video Conferencing Equipment AKW 000 Lab Configuration (w. R. Yang)

Self Configuring Sensor Networks Most important attribute of a sensor network –Nodes organize into an ad-hoc network –Localize themselves in space and time –Calibrate their sensors Operate in the presence of obstacles Rapid Infrastructure Setup Ad-Hoc Deployment

Our Approach to Node Localization Vertical cut-through approach that examines all system aspects Care about physical layer effects –Multipath, interference, obstacles Low power distributed operation Realistic application scenarios Multihop operation is key!!

Sensor Node Ecology iBadge ultrasound 3-axis accelerometer magnetometer speech feature extraction and recording Wearable Medusa MK-2 Omni-directional ultrsnd Designed for experiments Ceiling/Gateway For Intel Research/ UC Berkeley Mote Object Tag PALOS

Research Plans Self-organization for large scale networks –Clustering and node coordination Low power operation Sensor Network Programmability and Management Graduate Sensor Network and Applications course in Fall 2004