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Reliable and Consistent Data Collection Framework for IoT Sensor Networks

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 118)

Abstract

In IoT sensor networks, in the course of statistics accumulation, the statistics severance and stowage overhead may perhaps be augmented. Likewise, the dependability and steadiness of radar information need to be mentioned. Therefore in this research, Reliable and Consistent Data Collection Framework for IoT sensor networks is aimed. In this agenda, a group of applicant nodules are nominated depending upon the vitality suitability feature and bumper place accessibility. As soon as the information is detected at period interim t, it will be transferred to the nominated applicant nodule depending on the complete discrepancy rate. If the package inaccuracy amount at the sink nodule is greater than the brink rate, then the foundation will choose to direct the simulated statistics to a nominated group of applicant nodules. Through replication outcomes, we demonstrate that the suggested method verifies both the steadiness and idleness of statistics, thus resolving the trade-off. It also decreases the quantity of simulated statistics.

Keywords

IoT Sensor Reliable Data Framework 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Research Scholar, Department of Computer Science, School of Computing SciencesVELS Institute of Science Technology & Advanced Studies (VISTAS)ChennaiIndia
  2. 2.Assistant Professor, Chellammal Women’s CollegeChennaiIndia
  3. 3.Assistant Professor, Department of Information Technology, School of Computing SciencesVELS Institute of Science Technology & Advanced Studies (VISTAS)ChennaiIndia

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