A robustness distributed system with sensing and fault detection for large-scale sensor networks

Kiyohiko Hattori, Keiki Takadama, Satoshi Murata, Hiroshi Furuya

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

Abstract

In this paper, we propose a robustness data collection and fault detection method for large-scale sensor networks, which consist of ten thousand sensor nodes. The sensor network has some special features as multihop communication, data aggregation, and high error data rate caused by the huge number of nodes. To tackle this issue, we propose a distributed and self-organized method for data collecting and diagnosis. Our method has two features that are token nodes and limited broadcast for the data sharing and collecting. The token node is a special node that can make a limited broadcast packet for data collecting and sharing. Limited broadcast is a limited multihop number and we apply only two hops on this research. Those features can prevent a flood of broadcast packet. To clear the capability of our method, we make a few simulations and compare with other data collecting and diagnose method. As the result, our proposed method has better performance than other method.

Original languageEnglish
Title of host publicationSICE Annual Conference, SICE 2007
Pages1161-1165
Number of pages5
DOIs
Publication statusPublished - 2007 Dec 1
Externally publishedYes
EventSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 - Takamatsu, Japan
Duration: 2007 Sep 172007 Sep 20

Publication series

NameProceedings of the SICE Annual Conference

Other

OtherSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007
CountryJapan
CityTakamatsu
Period07/9/1707/9/20

Keywords

  • Data aggregation
  • Fault detection
  • Sensor network

ASJC Scopus subject areas

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

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