Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

Empirical Analysis of Transmission Power Control Algorithms for Wireless Sensor Networks

Jaein Jeong, David E. Culler and Jae-Hyuk Oh

EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2005-16
November 21, 2005

http://www.eecs.berkeley.edu/Pubs/TechRpts/2005/EECS-2005-16.pdf

Using a real wireless sensor network testbed, we have demonstrated and analyzed the performance of fixed and dynamic transmission-power-control algorithms. Several transmission power control algorithms have been proposed, but little empirical data is available. We test several popular algorithms on convergence and aggregation traffic patterns, which are commonly used in multi-hop wireless sensor networks for data collection. For the convergence traffic pattern, we have found that the dynamic transmission-power-control algorithm enabled a wireless sensor network to sustain the desired end-to-end throughput while consuming less energy than the fixed transmission-power-control algorithm.


BibTeX citation:

@techreport{Jeong:EECS-2005-16,
    Author = {Jeong, Jaein and Culler, David E. and Oh, Jae-Hyuk},
    Title = {Empirical Analysis of Transmission Power Control Algorithms for Wireless Sensor Networks},
    Institution = {EECS Department, University of California, Berkeley},
    Year = {2005},
    Month = {Nov},
    URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2005/EECS-2005-16.html},
    Number = {UCB/EECS-2005-16},
    Abstract = {Using a real wireless sensor network testbed, we have demonstrated and analyzed the performance of fixed and dynamic transmission-power-control algorithms. Several transmission power control algorithms have been proposed, but little empirical data is available. We test several popular algorithms on convergence and aggregation traffic patterns, which are commonly used in multi-hop wireless sensor networks for data collection. For the convergence traffic pattern, we have found that the dynamic transmission-power-control algorithm enabled a wireless sensor network to sustain the desired end-to-end throughput while consuming less energy than the fixed transmission-power-control algorithm.}
}

EndNote citation:

%0 Report
%A Jeong, Jaein
%A Culler, David E.
%A Oh, Jae-Hyuk
%T Empirical Analysis of Transmission Power Control Algorithms for Wireless Sensor Networks
%I EECS Department, University of California, Berkeley
%D 2005
%8 November 21
%@ UCB/EECS-2005-16
%U http://www.eecs.berkeley.edu/Pubs/TechRpts/2005/EECS-2005-16.html
%F Jeong:EECS-2005-16