Doctoral Dissertations

Carl Larsen

Abstract

"In this dissertation, improvement of quality of service (QoS) provisioning in wireless sensor networks (WSN) is examined using four different methods. The first two focus on allocation of limited resources in the face of changing network and channel conditions, and thus improving performance in terms of throughput and delay. The second two methods focus on using data aggregation to minimize the size and number of packet transmissions reducing the energy consumption and improving network lifetime.

Therefore, in the first paper a novel adaptive and distributed fair scheduling (ADFS) protocol for WSN is presented that allocates the channel bandwidth in proportion to the weight of the packet flows, which are updated dynamically in order to ensure fairness while provisioning other QoS parameters such as throughput and packet losses. In the second paper, a routing-aware predictive congestion control (RPCC) scheme for WSN is presented by using a combination of a hop-by-hop congestion control mechanism and a dynamic routing scheme in order to forward the packets through less congested nodes while minimizing packet losses and end-to-end delays.

By contrast, in the third paper, a data aggregation scheme is presented that uses least squares to fit a nonlinear function to multiple sensor data values, but only transmits the parameters of that polynomial over the network. This process is iterated along each node in the chain. However, in the fourth paper a different, but complementary, method of data aggregation, referred to as a nonlinear adaptive pulse coded modulation-based compression (NADPCMC), is introduced and its performance verified in the presence of noise, distortion, and quantization errors. The Lyapunov approach is utilized to verify analytically the performance of the proposed energy-efficient compression protocol"--Abstract, page iv.

Advisor(s)

Sarangapani, Jagannathan, 1965-

Committee Member(s)

Beetner, Daryl G.
Madria, Sanjay Kumar
Miller, Ann K.
Sedigh, Sahra

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Computer Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2009

Journal article titles appearing in thesis/dissertation

  • Adaptive and distributed fair scheduling in wireless ad hoc and sensor networks
  • Route aware predictive congestion control protocol for wireless sensor networks
  • Data value estimation via iterative data aggregation in wireless sensor networks
  • New adaptive compression scheme for data aggregation in wireless sensor networks

Pagination

xii, 144 pages

Note about bibliography

Includes bibliographical references.

Rights

© 2009 Carl Victor Larsen, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Subject Headings

Ad hoc networks (Computer networks)Adaptive control systemsMathematical optimizationWireless sensor networks

Thesis Number

T 9557

Print OCLC #

748274354

Electronic OCLC #

905870948

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