Ant-Colony Optimization Based In-Network Data Aggregation in Wireless Sensor Networks

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dc.contributor.advisorShi, Hongchi
dc.contributor.authorXie, Meng
dc.contributor.committeeMemberChen, Xiao
dc.contributor.committeeMemberGu, Qijun
dc.date.accessioned2012-12-05T19:33:22Z
dc.date.available2012-12-05T19:33:22Z
dc.date.issued2011-12
dc.description.abstractIn-network data aggregation is an important technique in wireless sensor networks. It improves energy efficiency and alleviates congestive routing traffic by eliminating data redundancy in message passing processes. Ant-colony aggregation is a distributed algorithm that provides an intrinsic way of exploring search space to optimize settings for optimal data aggregation. This thesis aims to refine the heuristic function and the aggregation node selection method to maximize energy efficiency and extend network lifetime.
dc.description.departmentComputer Science
dc.formatText
dc.format.extent83 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationXie, M. (2011). <i>Ant-colony optimization based in-network data aggregation in wireless sensor networks</i> (Unpublished thesis). Texas State University-San Marcos, San Marcos, Texas.
dc.identifier.urihttps://hdl.handle.net/10877/4415
dc.language.isoen
dc.subjectWireless Sensor Network
dc.subjectAnt Colony
dc.subjectData Aggregation
dc.subjectNetwork Lifetime
dc.subject.lcshAnt algorithmsen_US
dc.subject.lcshWireless sensor networksen_US
dc.subject.lcshWireless communication systemsen_US
dc.titleAnt-Colony Optimization Based In-Network Data Aggregation in Wireless Sensor Networks
dc.typeThesis
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorTexas State Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US

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