Masters Theses


"Energy efficiency is an important metric in resource constrained wireless sensor networks (WSN). Multiple approaches such as duty cycling, energy optimal scheduling, energy aware routing and data aggregation can be availed to reduce energy consumption throughout the network. This thesis addresses the data aggregation during routing since the energy expended in transmitting a single data bit is several orders of magnitude higher than it is required for a single 32 bit computation. Therefore, in the first paper, a novel nonlinear adaptive pulse coded modulation-based compression (NADPCMC) scheme is proposed for data aggregation. A rigorous analytical development of the proposed scheme is presented by using Lyapunov theory. Satisfactory performance of the proposed scheme is demonstrated when compared to the available compression schemes in NS-2 environment through several data sets. Data aggregation is achieved by iteratively applying the proposed compression scheme at the cluster heads. The second paper on the other hand deals with the hardware verification of the proposed data aggregation scheme in the presence of a Multi-interface Multi-Channel Routing Protocol (MMCR). Since sensor nodes are equipped with radios that can operate on multiple non-interfering channels, bandwidth availability on each channel is used to determine the appropriate channel for data transmission, thus increasing the throughput. MMCR uses a metric defined by throughput, end-to-end delay and energy utilization to select Multi-Point Relay (MPR) nodes to forward data packets in each channel while minimizing packet losses due to interference. Further, the proposed compression and aggregation are performed to further improve the energy savings and network lifetime"--Abstract, page iv.


Sarangapani, Jagannathan, 1965-

Committee Member(s)

Zawodniok, Maciej Jan, 1975-
Madria, Sanjay Kumar


Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering


Leonard Wood Institute


Accompanying CD-ROM, available at Missouri S&T Library, contains the source code for the NS2 simulations and hardware implementation.


Missouri University of Science and Technology

Publication Date

Spring 2010

Journal article titles appearing in thesis/dissertation

  • New data aggregation scheme via adaptive compression for wireless sensor networks
  • Hardware verification of data aggregation and multi-interface multi-channel routing protocol


x, 97 pages, 24 pages


© 2010 Priya Kasirajan, All rights reserved.

Document Type

Thesis - Open Access

File Type




Subject Headings

Aggregation operators
Data compression (Computer science)
Energy consumption -- Computer programs
Wireless sensor networks

Thesis Number

T 9616

Print OCLC #


Electronic OCLC #