Volume 19 No 11 (2021)
 Download PDF
EFFICIENT DATA COLLECTION WITH HRW FOR MOBILE MONITORING APPLICATIONS ON A LARGE SCALE: CLUSTERING TREE ALGORITHM-BASED APPROACH
Mr.VANGAPALLI RAVITEJA, Mr.SADULA SANKEERTH
Abstract
The focus of this paper The Hybrid RFID and WSN system (HRW) streamlines data collection by fusing the conventional RFID technology with the WSN. Smart nodes in HRW combine a radio frequency identification tag, a reader for such tags, and a portable sensor. As a result, the first node to reach an RFID reader can instantly transmit the sensing data of all other nodes through the tags they've collected. Information gathered by RFID readers is transmitted to servers in the back where it may be processed and managed. Its many applications include accelerating the placement process, increasing tag storage capacity, decreasing transmission times, and lowering costs.
Keywords
Radio frequency identification (RFID), wirelesssensor networks (WSNs), distributed hash tables (DHTs), datarouting.
Copyright
Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.