An Efficient Compressive Data Collection Scheme for Wireless Sensor Networks
- Title
- An Efficient Compressive Data Collection Scheme for Wireless Sensor Networks
- Creator
- Mary Anita E.A.; Jenefa J.; Vinodha D.; Lapina M.
- Description
- 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.
- Source
- Lecture Notes in Networks and Systems, Vol-1207 LNNS, pp. 31-47.
- Date
- 2024-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Compressive data collection; covariance function; Gaussian regression; margin-free estimator; maximum likelihood estimator; wireless sensor network
- Coverage
- 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
- Rights
- Restricted Access
- Relation
- ISSN: 23673370; ISBN: 978-303177228-3
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Mary Anita E.A.; Jenefa J.; Vinodha D.; Lapina M., “An Efficient Compressive Data Collection Scheme for Wireless Sensor Networks,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19044.