Stochastic scheduling for underwater sensor networks

  • Authors:
  • Dimitri Marinakis;Kui Wu;Sue Whitesides

  • Affiliations:
  • School of Computer Science, University of Victoria, Canada;School of Computer Science, University of Victoria, Canada;School of Computer Science, University of Victoria, Canada

  • Venue:
  • NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part I
  • Year:
  • 2011

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Abstract

The context of underwater sensor networks (UWSNs) presents special challenges for data transmission. For that context, we examine the merit of using a simple, stochastic transmission strategy based on the ALOHA protocol. The strategy uses a stochastic scheduling approach in which time is slotted, and each network node broadcasts according to some probability during each time slot. We present a closedform solution to an objective function that guides the assignment of the broadcast probabilities with respect to overall network reliability. We propose an easily distributed heuristic based on local network density and evaluate our approach using numerical simulations. The evaluation results show that even without using explicit control signalling, our simple stochastic scheduling method performs well for data transmission in UWSNs.