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Divisible Load Scheduling in Clustered Wireless Sensor Networks

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dc.contributor.author Choi, Kijeung
dc.contributor.author Robertazzi, Thomas G.
dc.contributor.other Preservation Department, Stony Brook University Libraries. en_US
dc.contributor.other Cataloging & Metadata Department, Stony Brook University Libraries. en_US
dc.date.accessioned 2009-12-16T19:55:51Z
dc.date.accessioned 2015-04-24T14:29:14Z
dc.date.available 2009-12-16T19:55:51Z
dc.date.available 2015-04-24T14:29:14Z
dc.date.issued 2009 en_US
dc.identifier.uri http://hdl.handle.net/1951/45381
dc.identifier.uri http://hdl.handle.net/11401/65999
dc.description leave(s) : ill; 28 cm. en_US
dc.description.abstract Optimal data scheduling strategies in a clustered hierarchical wireless sensor network are investigated. Data aggregation scheme in clusterheads are considered. Information utility, a newly introduced parameter is used for the situation of sensing data with a certain ratio of data accuracy in the context of the measurement data. A mathematical scheduling technique for multi-cluster wireless sensor network topology is examined by collapsing single clusters into equivalent intelligent sensor nodes which form a flat tree network. Using the optimal solution for the amount of data obtained by divisible load theory, an analysis of the energy dissipation is carried out with speed parameters and information utility constant. Aerospace based wireless sensor networks have application including tracking, environmental monitoring, and avionics sensing and control. en
dc.format Monograph. en_US
dc.format.medium Electronic Resource. en_US
dc.language.iso en_US
dc.publisher Stony Brook, N.Y.: State University of New York at Stony Brook, College of Engineering. en
dc.publisher Stony Brook University. en_US
dc.rights All Rights Reserved. Stony Brook University. en_US
dc.subject Wireless Sensors Networks en
dc.subject Divisible Load Scheduling en
dc.subject Environmental Monitoring en
dc.subject Avionics Sensors en
dc.subject.other Wireless Sensors Networks en
dc.subject.other Divisible Load Scheduling en
dc.subject.other Environmental Monitoring en
dc.subject.other Avionics Sensors en
dc.title Divisible Load Scheduling in Clustered Wireless Sensor Networks en
dc.type Technical Report en
dc.description.contributor The content contained herein is maintained and curated by the Preservation Department. en_US
dc.description.contributor This record is revised and maintained by the content administrators from the Cataloging & Metadata Department. en_US
dc.publisher.location Stony Brook, NY. en_US

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