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Monte Carlo Analysis of nodes deployment for large-scale Wireless Sensor Network using range-free location methods

  • R. Ricardo*
  • , H. G. Xiong
  • , Q. Gao
  • , A. Magallanes
  • , F. Candilio
  • *Corresponding author for this work
  • Beihang University

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

Abstract

In this paper a Monte Carlo Analysis of nodes deployment for large-scale and non-homogeneous Wireless Sensor Networks, has been done. We ran simulations of random deployments of nodes over a square area using different densities, assuming that our network is composed by Anchor nodes (special sensors with known position) and simple Sensor nodes, the latte are supposed to estimate their own position after being placed within the coverage area with the minimum Anchor nodes needed to 'feed' them with the necessary information. The goal is then to assist decision-makers in selecting among different alternatives to deploy the networks, according to resources features and availability, hence this method provides an estimate value of how many Anchor nodes should be deployed in a given area to trigger the location algorithm in the greatest possible number of Sensor nodes in the network.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE 2nd Symposium on Web Society, SWS 2010
Pages484-489
Number of pages6
DOIs
StatePublished - 2010
Event2010 IEEE 2nd Symposium on Web Society, SWS 2010 - Beijing, China
Duration: 16 Aug 201017 Aug 2010

Publication series

NameProceedings - 2010 IEEE 2nd Symposium on Web Society, SWS 2010

Conference

Conference2010 IEEE 2nd Symposium on Web Society, SWS 2010
Country/TerritoryChina
CityBeijing
Period16/08/1017/08/10

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