| dc.contributor.other | Preservation Department, Stony Brook University Libraries. | en_US |
| dc.contributor.other | Cataloging & Metadata Department, Stony Brook University Libraries. | en_US |
| dc.identifier.uri | http://hdl.handle.net/1951/45381 | |
| dc.identifier.uri | http://hdl.handle.net/11401/65541 | |
| dc.format | Monograph. | en_US |
| dc.format.medium | Electronic Resource. | en_US |
| dc.language.iso | en_US | |
| dc.rights | All Rights Reserved. Stony Brook University. | en_US |
| 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.type | Technical Report | en |
| dcterms.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 |
| dcterms.creator | Choi, Kijeung | |
| dcterms.creator | Robertazzi, Thomas G. | |
| dcterms.dateAccepted | 2009-12-16T19:55:51Z | |
| dcterms.dateAccepted | 2015-04-24T14:27:36Z | |
| dcterms.dateSubmitted | 2009-12-16T19:55:51Z | |
| dcterms.dateSubmitted | 2015-04-24T14:27:36Z | |
| dcterms.extent | leave(s) : ill; 28 cm. | en_US |
| dcterms.issued | 2009-12-15 | en_US |
| dcterms.provenance | Submitted by Jason Torre (fjason.torre@stonybrook.edu) on 2009-12-16T19:55:51Z
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Previous issue date: 2009-12-15 | en |
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Previous issue date: 2009-12-15 | en |
| dcterms.publisher | Stony Brook, NY. | en_US |
| dcterms.publisher | Stony Brook, N.Y.: State University of New York at Stony Brook, College of Engineering. | en |
| dcterms.publisher | Stony Brook University. | en_US |
| dcterms.subject | Wireless Sensors Networks | en |
| dcterms.subject | Divisible Load Scheduling | en |
| dcterms.subject | Environmental Monitoring | en |
| dcterms.subject | Avionics Sensors | en |
| dcterms.title | Divisible Load Scheduling in Clustered Wireless Sensor Networks | 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 |
