Skip to main navigation Skip to search Skip to main content

Research on fault-tolerant relay node placement based on greedy optimization algorithm in wireless sensor networks

  • Zhu Wang*
  • , Qi Wang
  • , De Bao Wei
  • *Corresponding author for this work
  • School of Information Science and Engineering, Harbin Institute of Technology Weihai
  • School of Electrical Engineering and Automation, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, relay node's communication capacity was introduced into the existing model of relay node placement. And we presented a new evaluation standard based on the minimum distance factor of communication network. A new relay node placement algorithm was implemented in solutions, and the algorithm was based on greedy optimization algorithm. The simulation result demonstrates that the algorithm can limit the communication capacity of relay nodes conveniently. Compared with other placement algorithms, improvement of energy-efficiencies in this algorithm is obvious.

Original languageEnglish
Title of host publicationAdvanced Research on Industry, Information System and Material Engineering
Pages1000-1004
Number of pages5
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 International Conference on Industry, Information System and Material Engineering, IISME2011 - Guangzhou, China
Duration: 16 Apr 201117 Apr 2011

Publication series

NameAdvanced Materials Research
Volume204-210
ISSN (Print)1022-6680

Conference

Conference2011 International Conference on Industry, Information System and Material Engineering, IISME2011
Country/TerritoryChina
CityGuangzhou
Period16/04/1117/04/11

Keywords

  • Communication capacity
  • Fault-tolerant relay node placement
  • Greedy optimization algorithm
  • The minimum distance factor of communication network
  • Wireless sensor networks

Fingerprint

Dive into the research topics of 'Research on fault-tolerant relay node placement based on greedy optimization algorithm in wireless sensor networks'. Together they form a unique fingerprint.

Cite this