Title:
Energy-efficient Communication Strategies for Wireless Sensor Networks

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dc.contributor.advisor Sivakumar, Raghupathy
dc.contributor.author Zhu, Yujie en_US
dc.contributor.committeeMember Akyildiz, Ian F
dc.contributor.committeeMember Ammar, Mostafa H.
dc.contributor.committeeMember Juang, Biing Hwang
dc.contributor.committeeMember Riley, George
dc.contributor.department Electrical and Computer Engineering en_US
dc.date.accessioned 2007-08-16T17:41:58Z
dc.date.available 2007-08-16T17:41:58Z
dc.date.issued 2007-05-17 en_US
dc.description.abstract Wireless sensor networks (WSNs) are characterized by limited amount of energy supply at sensor nodes. Hence, energy efficiency is an important issue in system design and operation of WSNs. In this work we focus on solving the energy efficiency problems of data gathering processes in WSNs. We first address this problem on a macroscopic level by investigating the efficiency of data gathering trees when data sent by different sensors are correlated. Such correlation aware data gathering strategies typically shift the aggregation structure from a default shortest-path tree (SPT) to a steiner minimum tree (SMT) in order to achieve the required efficiency. We study the energy efficiency of correlation aware data aggregation trees under various sensor network conditions and the tradeoffs involved in using them. Comprehensive simulation results as well as inferences and theoretical analysis of those results are presented in the thesis. Based on the insights gained through the investigation, we propose a simple, scalable and distributed correlation aware aggregation structure that achieves good energy performance across a wide range of sensor network configurations, and at the same time addresses the practical challenges of establishing a correlation aware data aggregation structure in resource-constrained WSNs. On a microscopic level, we propose a novel communication strategy called Communication through Silence (CtS) to achieve energy-efficient data gathering without significant degradation on overall throughput in WSNs. The proposed scheme primarily uses time, along with a minimal amount of energy to deliver information among sensors. CtS can be used to replace the conventional energy-based transmissions between each pair of sensor nodes during a data gathering process. We analyze in detail the primary energy-throughput tradeoff inherent in this approach as well as other challenges related to the realization of the proposed communication strategy. Finally, we propose a practical realization of CtS strategy that includes radio technology, MAC layer, and higher layer solutions. Performance evaluation results prove that this solution effectively realizes the CtS strategy in a WSN setting, at the same time achieves considerable energy savings compared to conventional communication strategies. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/16157
dc.publisher Georgia Institute of Technology en_US
dc.subject Correlation en_US
dc.subject Energy efficiency en_US
dc.subject Communication strategy en_US
dc.subject Aggregation en_US
dc.subject Wireless sensor networks en_US
dc.subject.lcsh Sensor networks en_US
dc.subject.lcsh Wireless communication systems en_US
dc.subject.lcsh Electric network topology en_US
dc.subject.lcsh Energy consumption en_US
dc.title Energy-efficient Communication Strategies for Wireless Sensor Networks en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Sivakumar, Raghupathy
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
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relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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