On scheduling for minimizing end-to-end buffer usage over multihop wireless networks

  • Authors:
  • V. J. Venkataramanan;Xiaojun Lin;Lei Ying;Sanjay Shakkottai

  • Affiliations:
  • School of ECE, Purdue University;School of ECE, Purdue University;Department of ECE, Iowa State University;Department of ECE, The University of Texas at Austin

  • Venue:
  • INFOCOM'10 Proceedings of the 29th conference on Information communications
  • Year:
  • 2010

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Abstract

While there has been much progress in designing backpressure based stabilizing algorithms for multihop wireless networks, end-to-end performance (e.g., end-to-end buffer usage) results have not been as forthcoming. In this paper, we study the end-to-end buffer usage (sum of buffer utilization along a flow path) over a network with general topology and with fixed, loopfree routes using a large-deviations approach. We first derive bounds on the best performance that any scheduling algorithm can achieve. Based on the intuition from the bounds, we propose a class of (backpressure-like) scheduling algorithms called αβ-algorithms. We show that the parameters α and β can be chosen such that the system under the αβ-algorithm performs arbitrarily closely to the best possible scheduler (formally the decay rate function for end-to-end buffer overflow is shown to be arbitrarily close to optimal in the large-buffer regime). We also develop variants which have the same asymptotic optimality property, and also provide good performance in the small-buffer regime. Our results are substantiated using both analysis and simulation.