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Fuzzy Logic-Based Sink Selection and Load Balancing in Multi-Sink Wireless Sensor Networks

Authors:

Mohammad Masdari,

Farah NaghilooAuthors Info & Claims

Wireless Personal Communications: An International Journal, Volume 97, Issue 2

Pages 2713 - 2739

https://doi.org/10.1007/s11277-017-4631-3

Published: 01 November 2017 Publication History

Abstract

Using multiple sink nodes in wireless sensor networks can greatly improve the lifetime and throughput of the network. One of the important issues in multi-sink wireless sensor networks is the congestion problem in sink nodes which reduces the effectiveness of data processing in sink nodes and increases the energy consumption of the sensor nodes. To prevent congestion in the sink nodes, in this paper, a distributed fuzzy logic-based sink selection algorithm is presented for one-hop sensor networks which makes each sensor node able to independently select a sink node based on the congestion situations in all the sink nodes. This scheme can effectively prevent congestion in the sink nodes and provide load balancing among them. Moreover, it reduces the delay of successful data transmissions to the sink nodes and improves the lifetime of wireless sensor networks by reducing the number of packet retransmissions. Simulation results indicate the effectiveness of our proposed solution.

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Cited By

Alilou MBabazadeh Sangar AMajidzadeh KMasdari M(2024)QFS-RPL: mobility and energy aware multi path routing protocol for the internet of mobile things data transfer infrastructuresTelecommunications Systems10.1007/s11235-023-01075-585:2(289-312)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1007/s11235-023-01075-5
Trinh CHuynh BBidaki MRahmani AHosseinzadeh MMasdari M(2022)Optimized fuzzy clustering using moth-flame optimization algorithm in wireless sensor networksArtificial Intelligence Review10.1007/s10462-021-09957-355:3(1915-1945)Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1007/s10462-021-09957-3
Hosseinzadeh MVo BGhafour MNaghipour S(2020)Electrocardiogram signals-based user authentication systems using soft computing techniquesArtificial Intelligence Review10.1007/s10462-020-09863-054:1(667-709)Online publication date: 16-Sep-2020
https://dl.acm.org/doi/10.1007/s10462-020-09863-0

Fuzzy Logic-Based Sink Selection and Load Balancing in Multi-Sink Wireless Sensor Networks

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Published In

cover image Wireless Personal Communications: An International Journal

Wireless Personal Communications: An International Journal Volume 97, Issue 2

November 2017

1600 pages

ISSN:0929-6212

Issue’s Table of Contents

Copyright © Copyright © 2017 Springer Science+Business Media, LLC.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 November 2017

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Cited By

Alilou MBabazadeh Sangar AMajidzadeh KMasdari M(2024)QFS-RPL: mobility and energy aware multi path routing protocol for the internet of mobile things data transfer infrastructuresTelecommunications Systems10.1007/s11235-023-01075-585:2(289-312)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1007/s11235-023-01075-5
Trinh CHuynh BBidaki MRahmani AHosseinzadeh MMasdari M(2022)Optimized fuzzy clustering using moth-flame optimization algorithm in wireless sensor networksArtificial Intelligence Review10.1007/s10462-021-09957-355:3(1915-1945)Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1007/s10462-021-09957-3
Hosseinzadeh MVo BGhafour MNaghipour S(2020)Electrocardiogram signals-based user authentication systems using soft computing techniquesArtificial Intelligence Review10.1007/s10462-020-09863-054:1(667-709)Online publication date: 16-Sep-2020
https://dl.acm.org/doi/10.1007/s10462-020-09863-0

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