Self-adaptive routing in multi-hop sensor networks

  • Authors:
  • Themistoklis Bourdenas;David Wood;Petros Zerfos;Flavio Bergamaschi;Morris Sloman

  • Affiliations:
  • Imperial College London, UK, and IBM Research, T. J. Watson, NY;IBM Research, T. J. Watson, NY;IBM Research, T. J. Watson, NY;IBM UK Laboratory, Hursley, UK;Imperial College London, UK

  • Venue:
  • Proceedings of the 7th International Conference on Network and Services Management
  • Year:
  • 2011

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Abstract

Sensor networks are used for applications in monitoring harsh environments including reconnaissance and surveillance of areas that may be inaccessible to humans. Such applications depend on reliable collection, distribution and delivery of information to processing centres which may involve multi-hop wireless networks which experience disruptions in communication and exhibit packet drops, connectivity loss and congestion. Some of these faults are periodic, attributed to external, recurring factors. In this paper, we study an effective way to forecast such repetitive conditions using time-series analysis. We, further, present an application-level, autonomic routing service that adapts sensor readings routes to avoid areas in which failures or congestion are expected. A prototype system of the approach is developed based on an existing middleware solution for sensor network management. Simulation results on the performance of this approach are also presented.