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RELIABLE WIRELESS SENSOR NETWORKS USING MULTIPLE SINKS AND DEGREE CONSTRAINED SHORTEST PATH TREES

  • Author / Creator
    Islam, Mohammad S
  • Wireless Sensor networks (WSN) have gained attention in both industry and academia
    due to their versatile fields of application. One of the main characteristics of a sensor
    node is its limited energy supply. The network needs to be reliable in the sense
    that it can deliver the data to sink with the presence of multiple link failures. Having
    more than one sink provides alternative paths to route packets in the presence
    of link failures and helps load balancing. Degree Constrained Shortest Path Trees
    (DCSPT) can be used as routing trees to limit the communication of sensor nodes
    thus conserving energy. In this thesis, we consider the problem of designing logical
    topologies for routing in WSNs with multiple sinks. We design reliable logical
    topologies most of which are based on DCSPT in grid and random graphs. We also
    design scheduling and routing algorithms for the logical topologies and evaluate the
    reliability of the designs using simulation. We demonstrate that with moderate link
    failures our schemes can reliably transfer data with low delay and the performance
    improves as the load of the network decreases.

  • Subjects / Keywords
  • Graduation date
    Spring 2013
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3914H
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
  • Supervisor / co-supervisor and their department(s)
  • Examining committee members and their departments
    • Harms, Janelle (Computing Science)
    • Wong, Kenny (Computing Science)
    • Nikolaidis, Ioanis (Computing Science)
    • Stewart, Lorna (Computing Science)