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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.date.accessioned 2009-12-16T19:55:51Z
dc.date.available 2009-12-16T19:55:51Z
dc.date.issued 2009-12-15
dc.identifier.uri http://hdl.handle.net/1951/45381
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.language.iso en_US en
dc.publisher Stony Brook, N.Y.: State University of New York at Stony Brook, College of Engineering. en
dc.subject Wireless Sensors Networks en
dc.subject Divisible Load Scheduling en
dc.subject Environmental Monitoring en
dc.subject Avionics Sensors en
dc.title Divisible Load Scheduling in Clustered Wireless Sensor Networks en
dc.type Technical Report en

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