Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

Sensor Field Localization: A Deployment and Empirical Analysis

Kamin Whitehouse, Fred Jiang, Chris Karlof, Alec Woo and David Culler

EECS Department
University of California, Berkeley
Technical Report No. UCB/CSD-04-1349
April 2004

http://www.eecs.berkeley.edu/Pubs/TechRpts/2004/CSD-04-1349.pdf

This paper presents a deployment methodology for sensor field localization systems. To deploy our ultrasound based localization system, we first create a simulation environment that captures real-world ranging characteristics. The localization system can then be designed against the ranging noise of a particular environment and ranging implementation. The simulation environment can also be used to estimate the localization accuracy and probability of successful localization before the deployment actually takes place. We evaluate this methodology through the empirical deployment in a 49 node, 8 hop network in which the system achieves an average accuracy of about 50cm.


BibTeX citation:

@techreport{Whitehouse:CSD-04-1349,
    Author = {Whitehouse, Kamin and Jiang, Fred and Karlof, Chris and Woo, Alec and Culler, David},
    Title = {Sensor Field Localization: A Deployment and Empirical Analysis},
    Institution = {EECS Department, University of California, Berkeley},
    Year = {2004},
    Month = {Apr},
    URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2004/6501.html},
    Number = {UCB/CSD-04-1349},
    Abstract = {This paper presents a deployment methodology for sensor field localization systems. To deploy our ultrasound based localization system, we first create a simulation environment that captures real-world ranging characteristics. The localization system can then be designed against the ranging noise of a particular environment and ranging implementation. The simulation environment can also be used to estimate the localization accuracy and probability of successful localization before the deployment actually takes place. We evaluate this methodology through the empirical deployment in a 49 node, 8 hop network in which the system achieves an average accuracy of about 50cm.}
}

EndNote citation:

%0 Report
%A Whitehouse, Kamin
%A Jiang, Fred
%A Karlof, Chris
%A Woo, Alec
%A Culler, David
%T Sensor Field Localization: A Deployment and Empirical Analysis
%I EECS Department, University of California, Berkeley
%D 2004
%@ UCB/CSD-04-1349
%U http://www.eecs.berkeley.edu/Pubs/TechRpts/2004/6501.html
%F Whitehouse:CSD-04-1349