PreCoRe: Predictive connectivity re-establishment in wireless sensor network in the presence of dumb nodes

Pushpendu Kar, Subhransu Das, Arun Kumar

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

2 Citations (Scopus)

Abstract

The existence of temporary misbehaving nodes is a common phenomenon in a wireless sensor network. Recent research works consider their existence and analyze their detrimental effects over the network performance. Several approaches even try to detect and overcome temporary misbehaving nodes from the network. In this paper, we propose a technique called PreCoRe to predict the occurrence of dumb nodes in advance. Additionally, it implies Optionally Active relay (OArelay) nodes to prevent the occurrence of dumb nodes in the network. The implementation of PreCoRe proved itself fruitful for the network. With PreCoRe, the network can achieve upto 60% increase in throughput by the cost of mere 6% additional energy. Moreover, network can achieve sustainable performance with at most 40% improvement in packet delivery ratio. The analysis and detailed performance evaluation led us to enlist some open research issues in the concluding section.

Original languageEnglish
Title of host publicationTENCON 2017 - 2017 IEEE Region 10 Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages403-408
Number of pages6
ISBN (Electronic)9781509011339
DOIs
Publication statusPublished - 19 Dec 2017
Externally publishedYes
Event2017 IEEE Region 10 Conference, TENCON 2017 - Penang, Malaysia
Duration: 5 Nov 20178 Nov 2017

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume2017-December
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Conference

Conference2017 IEEE Region 10 Conference, TENCON 2017
Country/TerritoryMalaysia
CityPenang
Period5/11/178/11/17

Keywords

  • Connectivity
  • Linear Regression
  • Temporary Misbehavior
  • WSN

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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