{"@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":"Preservation Department, Stony Brook University Libraries."},{"label":"dc.description.contributor","value":"The content contained herein is maintained and curated by the Preservation 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.rights","value":"All Rights Reserved.  Stony Brook University."},{"label":"dc.subject.other","value":"Wireless Sensors Networks"},{"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.extent","value":"leave(s) : ill;  28 cm."},{"label":"dcterms.issued","value":"2009-12-15"},{"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 University."},{"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/2/11%2F54%2F96%2F115496094325570417440148605817418598866/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/2/11%2F54%2F96%2F115496094325570417440148605817418598866","profile":"http://iiif.io/api/image/2/level2.json"}},"on":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json"}]}]}]}