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Message Batching in Wireless Sensor Networks—A Perturbation Analysis Approach

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Abstract

We address the problem of batching messages generated at nodes of a sensor network for the purpose of reducing communication energy at the expense of added latency. We consider a time-based batching approach. We first develop baseline analytical models based on Markovian assumptions, derive conditions under which batching is profitable, and explicitly determine a batching time that optimizes a performance metric capturing the trade-off between communication energy and message latency. We then provide an on-line performance optimization method based on Smoothed Perturbation Analysis (SPA) for estimating the performance sensitivity with respect to the controllable batching time. We prove that the SPA gradient estimator is unbiased and combine it with a Stochastic Approximation (SA) algorithm for on-line optimization. Numerical results are provided for Poisson and Markov modulated Poisson message arrival processes and illustrate the effectiveness of the message batching scheme.

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Authors and Affiliations

  1. Microsoft Corporation, One Microsoft Way, Redmond, WA, 98052, USA

    Xu Ning

  2. Division of Systems Engineering, Boston University, 15 Saint Mary’s St., Brookline, MA, 02446, USA

    Christos G. Cassandras

Authors
  1. Xu Ning
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  2. Christos G. Cassandras
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Corresponding author

Correspondence to Xu Ning.

Additional information

The authors’ work is supported in part by the National Science Foundation under grants DMI-0330171 and EFRI-0735974, by AFOSR under grants FA9550-07-1-0213 and FA9550-07-1-0361, and by DOE under grant DE-FG52-06NA27490. The research in this paper was conducted while Xu Ning was a student at Boston University.

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Ning, X., Cassandras, C.G. Message Batching in Wireless Sensor Networks—A Perturbation Analysis Approach. Discrete Event Dyn Syst 20, 409–439 (2010). https://doi.org/10.1007/s10626-009-0080-9

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  • DOI: https://doi.org/10.1007/s10626-009-0080-9

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