Firefly-inspired algorithm for data similarity aware node clustering in low rate wireless personal area network

Misbahuddin, Riri Fitri Sari

Research output: Contribution to journalArticle

Abstract

Low Rate Wireless Personal Network (LR-WPAN) is basically designed for an environmental monitoring application in Wireless Sensor Networks (WSNs). Improvement of the LR-WPAN’s protocol performance for nodes clustering and routing allows the wireless sensor networks to perform nodes clustering based on spatial similarity readings. This paper proposes a firefly-inspired protocol to improve the performance of the protocol in the spatial similarity readings. We call the protocol based on the behavior of firefly as Firefly Inspired Protocol (FIP). The FIP operates to establish the clusters of nodes. The FIP protocol was simulated by NS3 that uses the realistic humidity data toDevaluate itsbperformance.Theesimulationresults showed that the clustering protocol could detect robust the anomalous.data1that wassensedby a node.Furthermore, the protocol was also able to cluster dynamically the nodes thatpextremelyAdependaon theleveliof datasimilarity readings.

Original languageEnglish
Pages (from-to)3463-3467
Number of pages5
JournalAdvanced Science Letters
Volume21
Issue number11
DOIs
Publication statusPublished - 1 Nov 2015

Keywords

  • Firefly-Inspired protocol
  • LR-WPAN
  • Spatial similarity readings
  • WSNs

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