{"@context":"http://iiif.io/api/presentation/2/context.json","@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/manifest.json","@type":"sc:Manifest","label":"Divisible Load Scheduling in Clustered Wireless Sensor Networks","metadata":[{"label":"dc.contributor.other","value":"Cataloging & Metadata Department, Stony Brook University Libraries."},{"label":"dc.description","value":"leave(s) : ill; 28 cm."},{"label":"dc.description.contributor","value":"This record is revised and maintained by the content administrators from the Cataloging & Metadata Department."},{"label":"dc.format","value":"Monograph."},{"label":"dc.format.medium","value":"Electronic Resource."},{"label":"dc.identifier.uri","value":"http://hdl.handle.net/1951/45381"},{"label":"dc.language.iso","value":"en_US"},{"label":"dc.publisher.location","value":"Stony Brook, NY."},{"label":"dc.rights","value":"All Rights Reserved. Stony Brook University."},{"label":"dc.subject.other","value":"Environmental Monitoring"},{"label":"dcterms.abstract","value":"Optimal data scheduling strategies in a clustered hierarchical wireless sensor network are investigated. Data aggregation scheme in clusterheads are considered.\nInformation 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\ndata. A mathematical scheduling technique for multi-cluster wireless sensor network\ntopology is examined by collapsing single clusters into equivalent intelligent\nsensor nodes which form a flat tree network. Using the optimal solution for\nthe amount of data obtained by divisible load theory, an analysis of the energy\ndissipation is carried out with speed parameters and information utility constant.\nAerospace based wireless sensor networks have application including tracking,\nenvironmental monitoring, and avionics sensing and control."},{"label":"dcterms.creator","value":"Robertazzi, Thomas G."},{"label":"dcterms.dateAccepted","value":"2009-12-16T19:55:51Z"},{"label":"dcterms.dateSubmitted","value":"2009-12-16T19:55:51Z"},{"label":"dcterms.issued","value":"2009"},{"label":"dcterms.provenance","value":"Submitted by Jason Torre (fjason.torre@stonybrook.edu) on 2009-12-16T19:55:51Z\nNo. of bitstreams: 1\nCEASTECHNICALREPORT832.pdf: 4658269 bytes, checksum: 21e9ac6eb046c9b96c22890d7deb9be3 (MD5)"},{"label":"dcterms.publisher","value":"Stony Brook, N.Y.: State University of New York at Stony Brook, College of Engineering."},{"label":"dcterms.subject","value":"Avionics Sensors"},{"label":"dcterms.title","value":"Divisible Load Scheduling in Clustered Wireless Sensor Networks"},{"label":"dc.type","value":"Technical Report"}],"description":"This manifest was generated dynamically","viewingDirection":"left-to-right","sequences":[{"@type":"sc:Sequence","canvases":[{"@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json","@type":"sc:Canvas","label":"Page 1","height":1754,"width":1240,"images":[{"@type":"oa:Annotation","motivation":"sc:painting","resource":{"@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/33%2F94%2F07%2F33940710425569354426873754551519672397/full/full/0/default.jpg","@type":"dctypes:Image","format":"image/jpeg","height":1754,"width":1240,"service":{"@context":"http://iiif.io/api/image/2/context.json","@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/33%2F94%2F07%2F33940710425569354426873754551519672397","profile":"http://iiif.io/api/image/2/level2.json"}},"on":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json"}]}]}]}