Comparison of wireless communication technologies in remote monitoring systems

Tong Li, Hiroki Abe, Shigeyuki Tateno*, Yuriko Hachiya

*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

Nowadays, remote monitoring systems based on wireless communication technologies, are used in elderly care facilities and child day-care centers. In these systems, a ZigBee network with advantages of low energy consumption, flexibility and large network capacity has been used. Previous researchers proposed a system with XBee modules that are made by Digi international Inc. and widely used in the ZigBee network. Moreover, the XBee module can support not only the original ZigBee network but also a special DigiMesh network. These two networks have different performance in network construction and data transmission. Therefore, it should be compared to ensure the system stability that which network is better in network construction speed and packet loss rate. In this paper, several experiments under different environment have been designed to evaluate the performance of the remote monitoring system on the ZigBee network and the DigiMesh network.

Original languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
PublisherIEEE Computer Society
Pages591-595
Number of pages5
ISBN (Electronic)9788993215151
Publication statusPublished - 2018 Dec 10
Event18th International Conference on Control, Automation and Systems, ICCAS 2018 - PyeongChang, Korea, Republic of
Duration: 2018 Oct 172018 Oct 20

Publication series

NameInternational Conference on Control, Automation and Systems
Volume2018-October
ISSN (Print)1598-7833

Other

Other18th International Conference on Control, Automation and Systems, ICCAS 2018
Country/TerritoryKorea, Republic of
CityPyeongChang
Period18/10/1718/10/20

Keywords

  • DigiMesh
  • Network construction speed
  • Packet loss rate
  • Remote monitoring system
  • ZigBee

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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