Date of Award
2010
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Abstract
A Wireless Sensor Network (WSN) is composed of a large number of sensor nodes that are densely deployed in an area. One of the main issues addressed in WSNs research is energy efficiency due to sensors' limited energy resources. WSNs are deployed to monitor and control the physical environment, and to transmit the collected data to one or more sinks using multi-hop communication. Energy efficiency protocols represent a key mechanism in WSNs. This dissertation proposes several methods used to prolong WSNs lifetime focusing on designing energy efficient communication protocols. A critical issue for data gathering in WSNs is the formation of energy holes near the sinks where sensor nodes participate more in relaying data on behalf of other sensors. The solution proposed in this dissertation is to use mobile sinks that change their location to overcome the formation of energy holes. First, a study of the improvement in network lifetime when sinks move along the perimeter of a hexagonal tiling is conveyed. Second, a design of a distributed and localized algorithm used by sinks to decide their next move is proposed. Two extensions of the distributed algorithm, coverage and time-delivery requirement, are also addressed. Sensor scheduling mechanisms are used to increase network lifetime by sending redundant sensor nodes to sleep. In this dissertation a localized connected dominating set based approach is used to optimize network lifetime of a composite event detection application. A set of active nodes form a connected set that monitor the environment and send data to sinks. After some time, a new active nodes set is chosen. Thus, network lifetime is prolonged by alternating the active sensors. QoS is another main issue encountered in WSNs because of the dynamically changing network topology.
Extent
xii, 129 p. : ill. (some col.)
Recommended Citation
Fonoage, Mirela Ioana, "Mechanisms for improving energy efficiency in wireless sensor networks" (2010). Electronic Theses and Dissertations 2010 - 2019. 126.
https://digitalcommons.fau.edu/etd_general_6/126
Identifier
FADT2975242
Comments
by Mirela Ioana Fonoage.|Vita.|Thesis (Ph.D.)--Florida Atlantic University, 2010.|Includes bibliography.|Electronic reproduction. Boca Raton, Fla., 2010. Mode of access: World Wide Web.|by Mirela Ioana Fonoage.