Efficient sensor node deployment schemes for AOFSN

Li Mei Peng, Chan Hyun Youn, Xin Wan Li

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

Abstract

In this paper, the sensor node deployment schemes are studied for the all optical fiber sensor networks (AOFSN). Sensor node deployment strategy is very crucial to the sensing efficiency in terms of the high sensing accuracy and low sensing cost, etc. High sensing accuracy requires high coverage ratio and low blind ratio, while low sensing cost requires fewer amounts of sensor nodes/switches and low overlapping ratio. Given the above requirements, we apply the concept of close packing and propose two-dimensional Close-Packing based Sensor node Deployment (2-D CPSD) scheme, and the two-dimensional Closest-Packing Sensor node Deployment (2-D CestPSD) scheme. Then the CestPSD scheme is extended to a three-dimensional application and is named as 3-D CestPSD. The AOFSN applying the 2-D/3-D CestPSD schemes can obtain the maximum coverage, minimum blind ratio under the premise of maintaining no overlapping ratio between any two nodes' sensing range. The network performances are numerically analyzed and compared with some other node distribution schemes in terms of coverage ratio, overlapping ratio, blind ratio, and node density.

Original languageEnglish
Title of host publication2010 16th Asia-Pacific Conference on Communications, APCC 2010
Pages46-51
Number of pages6
DOIs
StatePublished - 2010
Event2010 16th Asia-Pacific Conference on Communications, APCC 2010 - Auckland, New Zealand
Duration: 31 Oct 20103 Nov 2010

Publication series

Name2010 16th Asia-Pacific Conference on Communications, APCC 2010

Conference

Conference2010 16th Asia-Pacific Conference on Communications, APCC 2010
Country/TerritoryNew Zealand
CityAuckland
Period31/10/103/11/10

Keywords

  • AOFSN
  • Close-packing
  • Introduction
  • Node deployment

Fingerprint

Dive into the research topics of 'Efficient sensor node deployment schemes for AOFSN'. Together they form a unique fingerprint.

Cite this