EERS: Energy-Efficient Reference Node Selection Algorithm for Synchronization in Industrial Wireless Sensor Networks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Elsharief, Mahmoud | - |
dc.contributor.author | Abd El-Gawad, Mohamed A. | - |
dc.contributor.author | Ko, Haneul | - |
dc.contributor.author | Pack, Sangheon | - |
dc.date.accessioned | 2021-08-30T18:46:20Z | - |
dc.date.available | 2021-08-30T18:46:20Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2020-08 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/54281 | - |
dc.description.abstract | Time synchronization is an essential issue in industrial wireless sensor networks (IWSNs). It assists perfect coordinated communications among the sensor nodes to preserve battery power. Generally, time synchronization in IWSNs has two major aspects of energy consumption and accuracy. In the literature, the energy consumption has not received much attention in contrast to the accuracy. In this paper, focusing on the energy consumption aspect, we introduce an energy-efficient reference node selection (EERS) algorithm for time synchronization in IWSNs. It selects and schedules a minimal sequence of connected reference nodes that are responsible for spreading timing messages. EERS achieves energy consumption synchronization by reducing the number of transmitted messages among the sensor nodes. To evaluate the performance of EERS, we conducted extensive experiments with Arduino Nano RF sensors and revealed that EERS achieves considerably fewer messages than previous techniques, robust time synchronization (R-Sync), fast scheduling and accurate drift compensation for time synchronization (FADS), and low power scheduling for time synchronization protocols (LPSS). In addition, simulation results for a large sensor network of 450 nodes demonstrate that EERS reduces the whole number of transmitted messages by 52%, 30%, and 13% compared to R-Sync, FADS, and LPSS, respectively. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | TIME SYNCHRONIZATION | - |
dc.title | EERS: Energy-Efficient Reference Node Selection Algorithm for Synchronization in Industrial Wireless Sensor Networks | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ko, Haneul | - |
dc.contributor.affiliatedAuthor | Pack, Sangheon | - |
dc.identifier.doi | 10.3390/s20154095 | - |
dc.identifier.scopusid | 2-s2.0-85088568226 | - |
dc.identifier.wosid | 000568606800001 | - |
dc.identifier.bibliographicCitation | SENSORS, v.20, no.15 | - |
dc.relation.isPartOf | SENSORS | - |
dc.citation.title | SENSORS | - |
dc.citation.volume | 20 | - |
dc.citation.number | 15 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.subject.keywordPlus | TIME SYNCHRONIZATION | - |
dc.subject.keywordAuthor | energy-efficiency | - |
dc.subject.keywordAuthor | industrial wireless sensor networks | - |
dc.subject.keywordAuthor | reference node selection | - |
dc.subject.keywordAuthor | time synchronization | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.