Improving Scalability and Balancing the Network Load Using Adaptive Multiparent Crossover Method in Wireless Sensor Networks

Shibin David, J. Andrew, Basil Xavier, Isaac Joel Raj, R. Jennifer Eunice

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Wireless sensor network comprises of scattered sensors to sense, monitor and aggregate the sensed information. The major issue in a wireless sensor network is to balance network load and to maintain less energy consumption where multi parent crossover method is considered. Multiparent cross over method will generate offspring from parent and aims at managing the load. In this paper a comparative study of different algorithms is done where the load balancing and energy consumption issue has been resolved.

Original languageEnglish
Pages (from-to)2417-2422
Number of pages6
JournalJournal of Computational and Theoretical Nanoscience
Volume17
Issue number5
DOIs
Publication statusPublished - 2020

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Materials Science(all)
  • Condensed Matter Physics
  • Computational Mathematics
  • Electrical and Electronic Engineering

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