Social impact theory-based node placement strategy for wireless sensor networks

Kavita Kumari, Shruti Mittal, Rishemjit Kaur, Ritesh Kumar, Inderdeep Kaur Aulakh, Amol P. Bhondekar

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

Abstract

The network density, energy consumption, and connectivity are the most important design parameters for a self-organizing wireless sensor network. This paper presents a social impact theory-based multi-objective strategy for optimizing these parameters. The proposed strategy optimizes the clustering schemes and signal strengths along with the operational modes of the sensor nodes. The algorithm has been implemented in MATLAB using an open source social impact theory Optimization toolbox (http://mloss.org/software/view/457/). The suggested algorithm offers the achievement of optimal designs and satisfies the different design parameters.

Original languageEnglish
Title of host publicationProceedings of the International Congress on Information and Communication Technology, ICICT 2015
EditorsDurgesh Kumar Mishra, Suresh Chandra Satapathy, Yogesh Chandra Bhatt, Amit Joshi
PublisherSpringer Verlag
Pages319-331
Number of pages13
ISBN (Print)9789811007668
DOIs
StatePublished - 1 Jan 2016
Externally publishedYes
EventInternational Congress on Information and Communication Technology, ICICT 2015 - Udaipur, India
Duration: 9 Oct 201510 Oct 2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume438
ISSN (Print)2194-5357

Conference

ConferenceInternational Congress on Information and Communication Technology, ICICT 2015
Country/TerritoryIndia
CityUdaipur
Period9/10/1510/10/15

Keywords

  • Component social impact theory
  • Network configuration
  • Sensor placement
  • Wireless sensor networks

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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