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

doi:10.1007%2F978-3-030-04585-2_13

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

College of Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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 language	English
Title of host publication	Advances in Smart Vehicular Technology, Transportation, Communication and Applications
Editors	Jeng-Shyang Pan, Tsu-Yang Wu, Yong Zhao, Lakhmi C. Jain
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	104-113
Number of pages	10
ISBN (Electronic)	978-3-319-70730-3
ISBN (Print)	978-3-319-70729-7
DOIs	https://doi.org/10.1007%2F978-3-030-04585-2_13
Publication status	Published - Dec 2018

Publication series

Name	Smart Innovation, Systems and Technologies
Publisher	Springer
Volume	128
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Keywords

Energy efficiency
WSN
cluster formation
fuzzy logic
cluster head

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007%2F978-3-030-04585-2_13Licence: In Copyright

https://rdcu.be/dA70QLicence: In Copyright

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Nguyen, T.-T., Pan, J.-S., Chu, S.-C., Dao, T.-K., & Do, V.-C. (2018). Improved Performance of Wireless Sensor Network Based on Fuzzy Logic for Clustering Scheme. In J.-S. Pan, T.-Y. Wu, Y. Zhao, & L. C. Jain (Eds.), Advances in Smart Vehicular Technology, Transportation, Communication and Applications (pp. 104-113). (Smart Innovation, Systems and Technologies; Vol. 128). Springer . https://doi.org/10.1007%2F978-3-030-04585-2_13

Nguyen, Trong-The ; Pan, Jeng-Shyang ; Chu, Shu-Chuan et al. / Improved Performance of Wireless Sensor Network Based on Fuzzy Logic for Clustering Scheme. Advances in Smart Vehicular Technology, Transportation, Communication and Applications. editor / Jeng-Shyang Pan ; Tsu-Yang Wu ; Yong Zhao ; Lakhmi C. Jain. Cham, Switzerland : Springer , 2018. pp. 104-113 (Smart Innovation, Systems and Technologies).

@inproceedings{732e5af4735e430ba4c55569c4cb15d4,

title = "Improved Performance of Wireless Sensor Network Based on Fuzzy Logic for Clustering Scheme",

abstract = "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{\textquoteright}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.",

keywords = "Energy efficiency, WSN, cluster formation, fuzzy logic, cluster head",

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

year = "2018",

month = dec,

doi = "10.1007%2F978-3-030-04585-2_13",

language = "English",

isbn = "978-3-319-70729-7",

series = "Smart Innovation, Systems and Technologies",

publisher = "Springer ",

pages = "104--113",

editor = "Pan, {Jeng-Shyang } and Wu, {Tsu-Yang } and Zhao, {Yong } and Jain, {Lakhmi C. }",

booktitle = "Advances in Smart Vehicular Technology, Transportation, Communication and Applications",

}

Nguyen, T-T, Pan, J-S, Chu, S-C, Dao, T-K & Do, V-C 2018, Improved Performance of Wireless Sensor Network Based on Fuzzy Logic for Clustering Scheme. in J-S Pan, T-Y Wu, Y Zhao & LC Jain (eds), Advances in Smart Vehicular Technology, Transportation, Communication and Applications. Smart Innovation, Systems and Technologies, vol. 128, Springer , Cham, Switzerland, pp. 104-113. https://doi.org/10.1007%2F978-3-030-04585-2_13

Improved Performance of Wireless Sensor Network Based on Fuzzy Logic for Clustering Scheme. / Nguyen, Trong-The; Pan, Jeng-Shyang; Chu, Shu-Chuan et al.
Advances in Smart Vehicular Technology, Transportation, Communication and Applications. ed. / Jeng-Shyang Pan; Tsu-Yang Wu; Yong Zhao; Lakhmi C. Jain. Cham, Switzerland: Springer , 2018. p. 104-113 (Smart Innovation, Systems and Technologies; Vol. 128).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Improved Performance of Wireless Sensor Network Based on Fuzzy Logic for Clustering Scheme

AU - Nguyen, Trong-The

AU - Pan, Jeng-Shyang

AU - Chu, Shu-Chuan

AU - Dao, Thi-Kien

AU - Do, Van-Chieu

PY - 2018/12

Y1 - 2018/12

N2 - 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.

AB - 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.

KW - Energy efficiency

KW - WSN

KW - cluster formation

KW - fuzzy logic

KW - cluster head

U2 - 10.1007%2F978-3-030-04585-2_13

DO - 10.1007%2F978-3-030-04585-2_13

M3 - Conference contribution

SN - 978-3-319-70729-7

T3 - Smart Innovation, Systems and Technologies

SP - 104

EP - 113

BT - Advances in Smart Vehicular Technology, Transportation, Communication and Applications

A2 - Pan, Jeng-Shyang

A2 - Wu, Tsu-Yang

A2 - Zhao, Yong

A2 - Jain, Lakhmi C.

PB - Springer

CY - Cham, Switzerland

ER -

Nguyen TT, Pan JS, Chu SC, Dao TK, Do VC. Improved Performance of Wireless Sensor Network Based on Fuzzy Logic for Clustering Scheme. In Pan JS, Wu TY, Zhao Y, Jain LC, editors, Advances in Smart Vehicular Technology, Transportation, Communication and Applications. Cham, Switzerland: Springer . 2018. p. 104-113. (Smart Innovation, Systems and Technologies). doi: 10.1007%2F978-3-030-04585-2_13

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

Abstract

Publication series

Keywords

UN SDGs

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