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 proceedingConference contribution

1 Citation (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 publicationiCETiC 2018: Emerging Technologies in Computing
EditorsMahdi H. Miraz, Peter Excell, Andrew Ware, Safeeullah Soomro, Maaruf Ali
PublisherSpringer
Pages153-160
Number of pages8
ISBN (Electronic)978-3-319-95450-9
ISBN (Print)9783319954493
DOIs
Publication statusPublished - 2018
Event1st International Conference for Emerging Technologies in Computing 2018 - London, United Kingdom
Duration: 23 Aug 201824 Aug 2018

Publication series

Name Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Volume200

Conference

Conference1st International Conference for Emerging Technologies in Computing 2018
Abbreviated titleiCETiC 2018
CountryUnited Kingdom
CityLondon
Period23/08/1824/08/18

Keywords

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

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  • Cite this

    Awad, A., Pang, W., & Coghill, G. (2018). Physarum Inspired Model for Mobile Sensor Nodes Deployment in the Presence of Obstacles. In M. H. Miraz, P. Excell, A. Ware, S. Soomro, & M. Ali (Eds.), iCETiC 2018: Emerging Technologies in Computing (pp. 153-160). ( Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Vol. 200). Springer. https://doi.org/10.1007/978-3-319-95450-9_12