Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Efficient Compressive Data Collection Scheme for Wireless Sensor Networks Subject The topic of the resource Compressive data collection; covariance function; Gaussian regression; margin-free estimator; maximum likelihood estimator; wireless sensor network Description An account of the resource The Compressive Data Collection (CDC) scheme is an efficient data-acquiring method that uses compressive sensing to decrease the bulk of data transmitted. Most existing schemes are modeled as Non-Uniform Sparse Random Projection (NSRP), and an NSRP-based estimator is used. These models cannot deal with anomaly readings that deviate from their standards and norms. Therefore, we provide a new CDC strategy in this study that uses an opportunistic estimator and routing. Initially, neighbor nodes are identified using the covariance function following the Gaussian process regression, and the data transfer to the neighbor node is done using the compressive sensing technique. Compressed data are then projected by using conventional random projection. Finally, the sample required to retrieve data is estimated using margin-free and maximum likelihood estimators. Results show that the sample needed to retrieve the data is less in the proposed scheme. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Mary Anita E.A.; Jenefa J.; Vinodha D.; Lapina M. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-1207 LNNS, pp. 31-47. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-77229-0_5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-77229-0_5</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210173679&amp;doi=10.1007%2F978-3-031-77229-0_5&amp;partnerID=40&amp;md5=8aa125f0b9b6b0d1c51627fed1d64429" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210173679&amp;doi=10.1007%2f978-3-031-77229-0_5&amp;partnerID=40&amp;md5=8aa125f0b9b6b0d1c51627fed1d64429</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-303177228-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mary Anita E.A., CHRIST (Deemed to be University), Bangalore, India; Jenefa J., CHRIST (Deemed to be University), Bangalore, India; Vinodha D., CHRIST (Deemed to be University), Bangalore, India; Lapina M., North Caucasus Federal University, Stavropol, Russian Federation