Improved Performance of Wireless Sensor Network Based on Fuzzy Logic for Clustering Scheme

Trong-The Nguyen, Jeng-Shyang Pan, Shu-Chuan Chu, Thi-Kien Dao, Van-Chieu Do

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


The wireless sensor network (WSN) consists of a large number of sensor nodes collaborative to collect and transmit data to the end user. Since the network’s long life is an utmost requirement of WSN. Clustering is one of the most effective ways of prolonging the lifetime of the network. In clustering, a node takes charge of the cluster to coordinate and receive information from the member nodes and transfer it to the sink. With the imbalance of energy dissipation by the sensor node, it may lead to premature failure of the network. Therefore, a robust balanced clustering algorithm can solve this issue in which a worthy candidate will play the cluster head role in each round. This paper proposes an improvement of WSN based on fuzzy logic for clustering. Residual energy, distance from the sink, and density of the nodes in its locality are taken account as the input to feed into fuzzy inference system. Compared results with the other approaches in the literature show the proposed scheme provides the better performance in terms of stability period and protracted lifetime.
Original languageEnglish
Title of host publicationAdvances in Smart Vehicular Technology, Transportation, Communication and Applications
EditorsJeng-Shyang Pan, Tsu-Yang Wu, Yong Zhao, Lakhmi C. Jain
Place of PublicationCham, Switzerland
Number of pages10
ISBN (Electronic)978-3-319-70730-3
ISBN (Print)978-3-319-70729-7
Publication statusPublished - Dec 2018

Publication series

NameSmart Innovation, Systems and Technologies
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026


  • Energy efficiency
  • WSN
  • cluster formation
  • fuzzy logic
  • cluster head


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