Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

Flexible Power Scheduling for Sensor Networks

Barbara Hohlt, Lance R. Doherty and Eric A. Brewer

EECS Department
University of California, Berkeley
Technical Report No. UCB/CSD-03-1293
January 2003

http://www.eecs.berkeley.edu/Pubs/TechRpts/2003/CSD-03-1293.pdf

We propose a distributed on-demand power-management protocol for collecting data in sensor networks. The protocol aims to reduce power consumption while supporting fluctuating demand in the network and provide local routing information and synchronicity without global control. Energy savings are achieved by powering down nodes during idle times identified through dynamic scheduling. We present a real implementation on wireless sensor nodes based on a novel, two-level architecture. We evaluate our approach through measurements and simulation, and show how the protocol allows adaptive scheduling and enables a smooth trade-off between energy savings and latency. An example current measurement shows an energy savings of 83% on an intermediate node.


BibTeX citation:

@techreport{Hohlt:CSD-03-1293,
    Author = {Hohlt, Barbara and Doherty, Lance R. and Brewer, Eric A.},
    Title = {Flexible Power Scheduling for Sensor Networks},
    Institution = {EECS Department, University of California, Berkeley},
    Year = {2003},
    Month = {Jan},
    URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2003/5699.html},
    Number = {UCB/CSD-03-1293},
    Abstract = {We propose a distributed on-demand power-management protocol for collecting data in sensor networks. The protocol aims to reduce power consumption while supporting fluctuating demand in the network and provide local routing information and synchronicity without global control. Energy savings are achieved by powering down nodes during idle times identified through dynamic scheduling. We present a real implementation on wireless sensor nodes based on a novel, two-level architecture. We evaluate our approach through measurements and simulation, and show how the protocol allows adaptive scheduling and enables a smooth trade-off between energy savings and latency. An example current measurement shows an energy savings of 83% on an intermediate node.}
}

EndNote citation:

%0 Report
%A Hohlt, Barbara
%A Doherty, Lance R.
%A Brewer, Eric A.
%T Flexible Power Scheduling for Sensor Networks
%I EECS Department, University of California, Berkeley
%D 2003
%@ UCB/CSD-03-1293
%U http://www.eecs.berkeley.edu/Pubs/TechRpts/2003/5699.html
%F Hohlt:CSD-03-1293