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Columbus State University

Data Gathering in Cognitive Radio Ad Hoc and Sensor Wireless Networks

Abstract

dc:description.abstract

<p>Data gathering is a network communication task in which all of the network’s nodes send their individual messages to a distinguished sink node. In cognitive radio ad hoc and sensor wireless networks (CR-AHSWNs), unlicensed secondary users (SUs) opportunistically use channels when the licensed primary users are not using them. Therefore, the channels available to each SU vary with time and location, which makes the development of data gathering algorithms for CR-AHSWNs challenging.</p> <p>In this thesis, a data gathering protocol for CR-AHSWNs is proposed. The protocol consists of several distributed SU action selection and channel selection algorithms. An algorithm that can reduce the data gathering delay by selecting message forwarding SUs is also proposed. Finally, an algorithm that calculates an estimate of the successful data gathering ratio (SDGR) is proposed. The SDGR is affected by each SU’s channel availability and network collisions, and the exact value is extremely challenging to calculate.</p>

Degree

thesis:*
Name thesis:degree_name
Computer Science - Applied Computing Track
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
TSYS School of Computer Science
Year dc:date.available
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Brown, Kimberly A.
Contributors dc:contributor
  • Dr. Lixin Wang
  • Dr. Jianhua Yang
  • Dr. Suk Lee

Subjects

dc:subject × 8

Rights

Language dc:language
English

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:csuepress.columbusstate.edu:theses_dissertations-1368

Chain of custody

source
Harvested from
Columbus State University
Base URL
csuepress.columbusstate.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Brown, Kimberly A.. Data Gathering in Cognitive Radio Ad Hoc and Sensor Wireless Networks. Thesis thesis, 2019. https://csuepress.columbusstate.edu/theses_dissertations/349