dc.contributor.author | Shastri, Anish | |
dc.contributor.author | Jain, Vivek | |
dc.contributor.author | Chaudhari, Sachin | |
dc.contributor.author | Cohan, Shailesh Singh | |
dc.contributor.author | Werner, Stefan | |
dc.date.accessioned | 2019-10-28T13:01:19Z | |
dc.date.available | 2019-10-28T13:01:19Z | |
dc.date.created | 2019-07-24T22:30:17Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-1-5386-4980-0 | |
dc.identifier.uri | http://hdl.handle.net/11250/2624918 | |
dc.description.abstract | This paper proposes the use of Shewhart test to reduce the number of data-transmissions in IoT networks. It is shown to outperform the widely-used least mean square (LMS) based data reduction method in terms of the number of data-transmissions, implementation complexity and mean square error (MSE) in prediction of time-series data at the sink node based on the partial transmissions of the measured time-series data from the sensor node. The paper also proposes the use of piggybacking and interpolation to further reduce the MSE of the estimated time-series data at the sink node without increasing the number of packet transmissions. The time-series data used for the comparison of data reduction algorithms is a set of measured temperature values in indoor and outdoor scenarios for four days using custom-designed wireless sensor nodes. To express the effectiveness of the piggybacked transmissions on battery lifetime, the total current consumption of the sensor node is measured for different number of piggybacks and corresponding battery lifetime is estimated. It is shown that the proposed piggyback approach significantly reduces the MSE at the cost of slight decrease in battery-lifetime. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | nb_NO |
dc.relation.ispartof | 2019 IEEE 5th World Forum on Internet of Things (WF-IoT) | |
dc.title | Improving accuracy of the Shewhart-based data-reduction in IoT nodes using piggybacking | nb_NO |
dc.type | Chapter | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.identifier.doi | 10.1109/WF-IoT.2019.8767321 | |
dc.identifier.cristin | 1712623 | |
dc.relation.project | Norges forskningsråd: 274717 | nb_NO |
dc.description.localcode | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | nb_NO |
cristin.unitcode | 194,63,35,0 | |
cristin.unitname | Institutt for elektroniske systemer | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |