Physarum Inspired Model for Mobile Sensor Nodes Deployment in the Presence of Obstacles

Abubakr Awad, Wei Pang, George Coghill

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

2 Citations (Scopus)

Abstract

Mobile wireless sensor networks (Mobile-WSN) are useful in harsh environments due to the presence of obstacles and/or dangerous for sensors to be deployed deterministically. In this paper, we proposed a Physarum inspired autonomous, model for dynamic deployment of sensor nodes where multiple Physarum (as representation of sensors) will compete over food resources (interest points) based on chemo-attraction, and repulsion forces exerted by competing Physarums and obstacles. Our simulation results have demonstrated the high coverage performance of the model with minimal move overhead in the presence of obstacles with the least number of sensors.
Original languageEnglish
Title of host publicationInternational Conference for Emerging Technologies in Computing iCETiC 2018
EditorsMahdi H. Miraz, Peter Excell, Andrew Ware, Safeeullah Soomro, Maaruf Ali
PublisherSpringer
Pages153-160
Number of pages8
ISBN (Electronic)9783319954509
ISBN (Print)9783319954493
DOIs
Publication statusPublished - 2018
EventInternational Conference on Emerging Technologies in Computing 2018
(iCETiC '18)
- London Metropolitan University, London, United Kingdom
Duration: 23 Aug 201824 Aug 2018
http://www.icetic18.theiaer.org/

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST)
PublisherSpringer
Volume200
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

ConferenceInternational Conference on Emerging Technologies in Computing 2018
(iCETiC '18)
Country/TerritoryUnited Kingdom
CityLondon
Period23/08/1824/08/18
Internet address

Bibliographical note

Abubakr Awad research is supported by Elphinstone PhD Scholarship (University of Aberdeen). Wei Pang and George Coghill are supported by the Royal Society International Exchange program (Grant Ref IE160806).

Keywords

  • Physarum polycephalum
  • Hexagonal cellular automaton
  • Mobile sensor network
  • Deployment
  • Coverage
  • Obstacles

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