Fault-tolerant event detection using two thresholds in wireless sensor networks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yim, S.-J. | - |
dc.contributor.author | Choi, Y.-H. | - |
dc.date.accessioned | 2022-01-03T07:43:54Z | - |
dc.date.available | 2022-01-03T07:43:54Z | - |
dc.date.created | 2021-12-28 | - |
dc.date.issued | 2009 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/22542 | - |
dc.description.abstract | This paper presents a fault-tolerant event detection scheme for wireless sensor networks. Unlike others using a single threshold, the proposed scheme employs two thresholds to cope with the trade-off between event detection accuracy and false alarm rate. An extremely low false alarm rate can be achieved by using a high threshold, while high detection accuracy is obtained by using a low threshold. A sensor node is determined to be in an event region if it passes the high threshold. It can also be determined to be in the region, as long as it passes the low threshold and has a neighbor that passes the high threshold. The dissemination of a local decision to neighboring nodes is made only once to minimize the communication overhead. A moving average filter with a threshold is employed to reduce the impact of transient faults in sensor readings. Computer simulation shows that the proposed scheme also achieves acceptable performance in detecting event regions without computational overhead. © 2009 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE COMPUTER SOC | - |
dc.title | Fault-tolerant event detection using two thresholds in wireless sensor networks | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Choi, Y.-H. | - |
dc.identifier.doi | 10.1109/PRDC.2009.59 | - |
dc.identifier.scopusid | 2-s2.0-77649297832 | - |
dc.identifier.wosid | 000275135500053 | - |
dc.identifier.bibliographicCitation | 2009 15th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2009, pp.331 - 335 | - |
dc.relation.isPartOf | 2009 15th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2009 | - |
dc.citation.title | 2009 15th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2009 | - |
dc.citation.startPage | 331 | - |
dc.citation.endPage | 335 | - |
dc.type.rims | ART | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordAuthor | Event detection | - |
dc.subject.keywordAuthor | Fault tolerance | - |
dc.subject.keywordAuthor | Sensor networks | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK 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.