A Dynamic Multi-Layer Self-Healing Algorithm for WSN using Contiki OS

Diego Mendez, David Santos

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

3 Scopus citations

Abstract

Some of the constrains on a WSN are the limited power source this kind of nodes rely on, and the unreliable wireless links, hence it is imperative to implement different self-healing and topology control mechanisms to extend the lifetime of the network. We proposed and implemented a layered algorithm that generates the initial topology of the network, splits the network in clusters, selects a Cluster Head (CH) that represents the cluster, and puts to sleep the Non-CHs nodes (preserving their battery), and finally implements a mechanism that creates disjoint paths to recover the network when a single node fails. The whole system is implemented on real nodes running Contiki OS and Matlab on the sink.

Original languageEnglish
Title of host publicationProceedings of the 2018 20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages693-696
Number of pages4
ISBN (Electronic)9781538667620
DOIs
StatePublished - 01 Nov 2018
Event20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018 - Cartagena de Indias, Colombia
Duration: 10 Sep 201814 Sep 2018

Publication series

NameProceedings of the 2018 20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018

Conference

Conference20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018
Country/TerritoryColombia
CityCartagena de Indias
Period10/09/1814/09/18

Keywords

  • Clusters.
  • K-Means
  • PSO
  • RPL

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