Back to results

University of Tennessee at Chattanooga

Cluster-based trust proliferation and energy efficient data collection in unattended wireless sensor networks with mobile sinks

Abstract

dc:description.abstract

Wireless sensor networks are relatively simple, scalable networks with many applications in the research field. They can provide benefits that a typical wireless network does not, such as ad-hoc distribution, lower costs, and higher flexibility. In a scenario where time is of the essence and dedicated base stations cannot be established, such as a storm or a volcanic eruption, mobile sinks must be used to gather data. We aim to introduce a fast cluster-based mechanism by which nodes can securely connect to one another based on trust and network clustering and begin transmitting data to a collection device while it is available. We also examine two possible attacks on a trust-based network, and present a heuristic solution for minimizing the negative effects of such an attack in an energy-efficient way. Through simulation, we show that this scheme performs better than others in terms of energy efficiency and network lifespan.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Whitehead, Jesse Ray
Contributors dc:contributor
  • Kandah, Farah
  • Tanis, Craig; Kizza, Joseph
  • College of Engineering and Computer Science

Subjects

dc:subject × 2

Rights

dc:rights
Language dc:language
English, eng

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholar.utc.edu/theses/483
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-1633

Chain of custody

source
Harvested from
University of Tennessee - Chattanooga
Base URL
scholar.utc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Whitehead, Jesse Ray. Cluster-based trust proliferation and energy efficient data collection in unattended wireless sensor networks with mobile sinks. University of Tennessee at Chattanooga, https://scholar.utc.edu/theses/483