SDH: Self Detection and Healing mechanism for dumb nodes in Wireless Sensor Network

Subhransu Das, Pushpendu Kar, Dipak Kumar Jana

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

3 Citations (Scopus)

Abstract

In real life deployment, Wireless Sensor Networks (WSN) often experience adverse environmental conditions. Due to these adverse environmental conditions sensor nodes can behave as dumb. Dumb nature is a temporary misbehavior of a sensor node caused by the temporal nature of adverse environmental conditions. In this paper, we present a Self Detection and Healing (SDH) mechanism to overcome the existence of such misbehaving nodes. Self detection mechanism brings environmental awareness to the nodes. Whereas, Self healing infers and applies the most suitable transmission parameters under the above said environmental conditions. Performance analysis shows that self detection mechanism can work with more than 80% accuracy in all test cases. On the other hand, self healing can increase 67% network throughput by overcoming the existence of dumb nodes. Self detection and healing is also an energy efficient solution. It consumes 25% less power than the distributed approach of dumb node detection.

Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE Region 10 Conference, TENCON 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2792-2795
Number of pages4
ISBN (Electronic)9781509025961
DOIs
Publication statusPublished - 8 Feb 2017
Externally publishedYes
Event2016 IEEE Region 10 Conference, TENCON 2016 - Singapore, Singapore
Duration: 22 Nov 201625 Nov 2016

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Conference

Conference2016 IEEE Region 10 Conference, TENCON 2016
Country/TerritorySingapore
CitySingapore
Period22/11/1625/11/16

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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