Usage
  • 55 views
  • 24 downloads

Designing Hierarchical WSNs for Heterogeneous Outdoor Environments.

  • Author / Creator
    Mortazavi ,Seyed Hossein
  • In this project we study the problem of wireless sensor network (WSN) node placement in a modelled environment. Although various optimal and sub-optimal techniques with different objectives and constraints such as maximizing coverage, network lifetime and reliable data transfer have previously been proposed for different variations of the node placement problem, many of these methods make various simplifying assumptions such as homogeneous transmission ranges among nodes. In our work we model the real environment and then based on our model we specifically design two node placement algorithms for two-tiered heterogeneous networks that aim to solve problems such as minimizing the number of RNs and SNs needed to satisfy a coverage constraint while maintaining connectivity (with fault-less connections) of the SNs to the base station and also maximizing the area covered by a specific number of RNs and SNs.

  • Subjects / Keywords
  • Graduation date
    2012-09
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R38D5C
  • 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
    • Department of Computing Science
  • Supervisor / co-supervisor and their department(s)
    • MacGregor, Micheal (Computing Science)
  • Examining committee members and their departments
    • Micheal MacGregor (Computing Sceince)
    • Harms, Janelle (Computing Sceince)
    • Sanchez, Arturo (Department of Earth and Atmospheric Sciences)
    • Walter Bichof (Computing Science)