research-article

Fuzzy Logic-Based Clustering Algorithm for Multi-hop Wireless Sensor Networks

Authors:

Zhang Siqing,

Tao Yang,

Yang FeiyueAuthors Info & Claims

Procedia Computer Science, Volume 131, Issue C

Pages 1095 - 1103

https://doi.org/10.1016/j.procs.2018.04.270

Published: 01 May 2018 Publication History

Abstract

To prolong the life of wireless sensor networks(WSNs) and reduce energy consumption, a clustering protocol based on fuzzy logic for Multi-hop WSNs(FLCMN) is proposed. The algorithm considers the residual energy of nodes, the number of neighbor nodes and the average residual energy of neighbor nodes. According to the pre-set fuzzy rule base, the fuzzy system is used to evaluate the satisfaction of the elected cluster head(CH). In addition, the average residual energy of neighbor nodes is taken into consideration, which improves the hotspot problem and balances the energy consumption between clusters. At the same time, in order to improve the hot issues among clusters, a multi-hop transmission scheme based on Fibonacci sequence is proposed to prolong the lifetime of the network. Through simulation, FLCAMN algorithm outperforms LEACH, EAMMH and DFLC algorithms in terms of networks survival time and energy consumption.

References

[1]

N. Nokhanji, Z.M. Hanapi, S. Subramaniam, M.A. Mohamed, An Energy Aware Distributed Clustering AlgorithmUsingFuzzyLogicforWirelessSensorNetworkswithNon-uniformNodeDistribution., Wirel.Pers.Commun., 84 (2015) 395-419.

Digital Library

Google Scholar

[2]

Heinzelman W R, Chandrakasan A, Balakrishnan H. Energy-Efficient Communication Protocol for Wireless Microsensor NetworksC// Hawaii International Conference on System Sciences. IEEE Computer Society, 2000:8020.

Digital Library

Google Scholar

[3]

JM Kim, SH Park, YJ Han, CHEF: Cluster Head Election mechanism using Fuzzy logic in Wireless Sensor NetworksJ., IEEE, 1 (2013) 654-659.

Google Scholar

[4]

MonicaR Mundada, V CyrilRaj, T Bhuvaneswari, Energy Aware Multi-Hop Multi-Path Hierarchical (EAMMH) Routing Protocol for Wireless Sensor Networks, European Journal of Scientific Research ISSN 1450-216X, 88 (October, 2013).

Google Scholar

[5]

MSA Mustafa, BM Ali, SJB Hashim, Work in progress: A proposal for a hotspot metric to extend the lifetime in wireless sensor networkC// International Conference on Advances in Computing, Communications and Informatics., IEEE (2016) 1635-1639.

Google Scholar

[6]

A Alaybeyoglu, Pergamon Press, Inc., 2015.

Google Scholar

[7]

N Javaid, TN Qureshi, AH Khan, EDDEEC: Enhanced Developed Distributed Energy-efficient Clustering for Heterogeneous Wireless Sensor Networks J., Procedia Computer Science, 19 (2013) 914-919.

Crossref

Google Scholar

[8]

C Falbo, The Golden Ratio: A Contrary ViewpointJ., College Mathematics Journal, 36 (2005) 123-134.

Google Scholar

Cited By

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Edla DLipare AParne S(2023)Load balanced cluster formation to avoid energy hole problem in WSN using fuzzy rule-based systemWireless Networks10.1007/s11276-022-03200-929:3(1299-1310)Online publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1007/s11276-022-03200-9
Kochuveettil AMathew R(2022)A novel approach to fuzzy c-Means clustering using kernel functionIntelligent Decision Technologies10.3233/IDT-21009116:4(643-651)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/IDT-210091
Bhushan BSahoo G(2022)FLEAC: Fuzzy Logic-based Energy Adequate Clustering Protocol for Wireless Sensor Networks using Improved Grasshopper Optimization AlgorithmWireless Personal Communications: An International Journal10.1007/s11277-021-09373-4124:1(573-606)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1007/s11277-021-09373-4

Fuzzy Logic-Based Clustering Algorithm for Multi-hop Wireless Sensor Networks
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
2. Networks
  1. Network types

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Published In

Procedia Computer Science Volume 131, Issue C

May 2018

1364 pages

ISSN:1877-0509

EISSN:1877-0509

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Elsevier Science Publishers B. V.

Netherlands

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Published: 01 May 2018

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Edla DLipare AParne S(2023)Load balanced cluster formation to avoid energy hole problem in WSN using fuzzy rule-based systemWireless Networks10.1007/s11276-022-03200-929:3(1299-1310)Online publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1007/s11276-022-03200-9
Kochuveettil AMathew R(2022)A novel approach to fuzzy c-Means clustering using kernel functionIntelligent Decision Technologies10.3233/IDT-21009116:4(643-651)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/IDT-210091
Bhushan BSahoo G(2022)FLEAC: Fuzzy Logic-based Energy Adequate Clustering Protocol for Wireless Sensor Networks using Improved Grasshopper Optimization AlgorithmWireless Personal Communications: An International Journal10.1007/s11277-021-09373-4124:1(573-606)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1007/s11277-021-09373-4

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Recommendations

Minimum weighted clustering algorithm for wireless sensor networks

Multi-factor and Distributed Clustering Routing Protocol in Wireless Sensor Networks

A Cognitive Multi-hop Clustering Approach for Wireless Sensor Networks

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