Title page for ETD etd-03312004-090610


Type of Document Master's Thesis
Author Anilkumar, Ravi
Author's Email Address ranilkum@vt.edu
URN etd-03312004-090610
Title Energy-Efficient Measurement of Coverage in Distributed Sensor Networks
Degree Master of Science
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Jones, Mark T. Committee Chair
Athanas, Peter M. Committee Member
Reed, Jeffrey Hugh Committee Member
Keywords
  • Coverage
  • B-spline
  • Energy-Efficient
  • Distributed sensor networks
Date of Defense 2004-01-30
Availability unrestricted
Abstract
Large-scale sensor networks have become a reality due to recent developments in sensor node

hardware and algorithms. Sensor networks can provide real-time information based on detection

and tracking. This information cannot be reliable if little is known about the sensor coverage of the network, which can be defined as the total sensing range of the network due to contributions from each sensor node. Knowledge about coverage can also be useful in determining if there is any gap in coverage in the region of interest as well as improving the algorithm that determines the placement of nodes. Although coverage estimation is this thesis's central concern, other factors such as energy-efficiency and network lifespan that affect the network performance are investigated. Energy-efficiency and network lifespan depend on the communication model used for obtaining coverage information from each sensor node. This thesis proposes the use of B-splines for describing coverage efficiently. The properties of B-splines also enable communication models such as directed

diffusion and hierarchical clustering to provide better performance as compared to a centralized

scheme. Results obtained from simulation experiments indicate that hierarchical clustering and directed diffusion can be used effectively for coverage measurement. The hierarchical clustering model, however, exhibited some drawbacks such as a dependency on the routing scheme and poor node-failure recovery.

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