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6th International ICST Symposium on Modeling and Optimization

Research Article

Making Distributed Rate Control using Lyapunov Drifts a Reality in Wireless Sensor Networks

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  • @INPROCEEDINGS{10.4108/ICST.WIOPT2008.3205,
        author={Avinash Sridharan and Scott Moeller and Bhaskar Krishnamachari},
        title={Making Distributed Rate Control using Lyapunov Drifts a Reality in Wireless Sensor Networks},
        proceedings={6th International ICST Symposium on Modeling and Optimization},
        publisher={IEEE},
        proceedings_a={WIOPT},
        year={2008},
        month={8},
        keywords={Algorithm design and analysis Communication system control Distributed control Multiaccess communication Pressure control Protocols Stability Stochastic processes Testing Wireless sensor networks},
        doi={10.4108/ICST.WIOPT2008.3205}
    }
    
  • Avinash Sridharan
    Scott Moeller
    Bhaskar Krishnamachari
    Year: 2008
    Making Distributed Rate Control using Lyapunov Drifts a Reality in Wireless Sensor Networks
    WIOPT
    IEEE
    DOI: 10.4108/ICST.WIOPT2008.3205
Avinash Sridharan1,*, Scott Moeller1,*, Bhaskar Krishnamachari1,*
  • 1: Ming Hsieh Dept. of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
*Contact email: asridhar@usc.edu, smoeller@usc.edu, bkrishna@usc.edu

Abstract

We take a top-down approach of formulating the rate control problem, over a collection tree, in a wireless sensor network as a generic convex optimization problem and propose a distributed back pressure algorithm using Lyapunov drift based optimization techniques. Primarily, we show that existing theoretical results in the field of stochastic network optimization can be directly applied to a CSMA based wireless sensor network using our novel receiver capacity model. We back this claim by implementing our algorithm on the Tmote sky class devices. Our experimental evaluation on a 5 node testbed shows that the empirically observed rate allocation on a real sensor network testbed that uses our back pressure algorithm is close to the analytically predicted values, justifying our claims.

Keywords
Algorithm design and analysis Communication system control Distributed control Multiaccess communication Pressure control Protocols Stability Stochastic processes Testing Wireless sensor networks
Published
2008-08-01
Publisher
IEEE
Modified
2010-05-16
http://dx.doi.org/10.4108/ICST.WIOPT2008.3205
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