Coverage Optimization of Wireless Sensor Networks with Normal Distribution

Anas Al-Roubaiey, Basheer Al-Gohi

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

Abstract

The sensors at the first-hop from the base station limit the network lifetime of a uniformly deployed Wireless Sensor Networks (WSN). That is because all the other nodes rely on them to forward their traffic to the base station; which eventually results in energy hole problem. Normal distribution is considered as a promising solution for this problem. Thus, in this paper we focus on studying the effect of the normal distribution deployment variations on the network performance. We selected the coverage performance metric, which is considered as one of the most important Quality of Service metrics in WSN. We derive an equation that can be used to get the best distribution parameters (σx, σy), standard deviations, using our proposed approximation approach called equivalent square method (ESM). Our model is verified using previous reliable published results.

Original languageEnglish
Title of host publicationProceedings - 17th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2018
EditorsWei Xiong, Wenqiang Shang, Simon Xu, Hwee-Kuan Lee
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages16-21
Number of pages6
ISBN (Electronic)9781538658925
DOIs
StatePublished - 14 Sep 2018

Publication series

NameProceedings - 17th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2018

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Coverage probability
  • Energy hole
  • Modeling
  • Normal distribution
  • WSN
  • Wireless sensor networks

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Media Technology

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