An analytical approach for optimizing data transfer rate in a faulty wireless sensor network

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Wireless Sensor Networks (WSNs) typically consist of failure-prone sensor nodes (SN) and more reliable sink nodes (SK). To prevent data loss due to hardware failures, the data stored in SNs' memory must be regularly transferred to SKs. Hence, choosing an appropriate data transfer rate between SN and SK is important to minimize data loss in a faulty WSN. This paper presents an analytical method to derive the optimal data transfer rate of the SN based on a Markov Model.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 24th Pacific Rim International Symposium on Dependable Computing, PRDC 2019
PublisherIEEE Computer Society
Pages122-123
Number of pages2
ISBN (Electronic)9781728149615
DOIs
Publication statusPublished - 2019 Dec
Event24th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2019 - Kyoto, Japan
Duration: 2019 Dec 12019 Dec 3

Publication series

NameProceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC
Volume2019-December
ISSN (Print)1541-0110

Conference

Conference24th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2019
CountryJapan
CityKyoto
Period19/12/119/12/3

Keywords

  • Data transfer rate
  • Hardware failure
  • Markov model
  • Optimization
  • Wireless sensor network

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Hardware and Architecture
  • Software

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