research-article

Prolonging WSN lifetime using a new scheme for Sink moving based on Artificial Fish Swarm Algorithm

Authors:

Djamila Mechta,

Saad HarousAuthors Info & Claims

AWICT 2017: Proceedings of the Second International Conference on Advanced Wireless Information, Data, and Communication Technologies

Article No.: 7, Pages 1 - 5

https://doi.org/10.1145/3231830.3231837

Published: 13 November 2017 Publication History

Abstract

In this paper, we investigate the problem of energy in Wireless sensor networks. The sensors maintain their autonomy from their batteries. These networks have a limited capacity in terms of energy mostly at the communication process which could significantly reduce the network lifetime. In order to prolong the network lifetime, by maintaining its performance, we propose a novel algorithm based on Artificial Fish Swarm Algorithm (AFSA) behaviors for sink moving in WSN. Simulation results indicate the efficiency of the proposed scheme in terms of increasing the network lifetime and giving the best rate of the delivered packets.

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Cited By

Eid H(2023)Bio-Inspired Algorithms for Wireless Network OptimizationApplications of Artificial Intelligence in Wireless Communication Systems10.4018/978-1-6684-7348-1.ch002(13-35)Online publication date: 16-Jun-2023
https://doi.org/10.4018/978-1-6684-7348-1.ch002
Pourpanah FWang RLim CWang XYazdani D(2022)A review of artificial fish swarm algorithms: recent advances and applicationsArtificial Intelligence Review10.1007/s10462-022-10214-456:3(1867-1903)Online publication date: 21-Jun-2022
https://doi.org/10.1007/s10462-022-10214-4
Houssein ESaad MHussain KShaban HHassaballah M(2021)A Review of Metaheuristic Optimization Algorithms in Wireless Sensor NetworksMetaheuristics in Machine Learning: Theory and Applications10.1007/978-3-030-70542-8_9(193-217)Online publication date: 14-Jul-2021
https://doi.org/10.1007/978-3-030-70542-8_9
Show More Cited By

Index Terms

Prolonging WSN lifetime using a new scheme for Sink moving based on Artificial Fish Swarm Algorithm
1. Networks
  1. Network protocols
    1. Network layer protocols
      1. Routing protocols

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cover image ACM Other conferences

AWICT 2017: Proceedings of the Second International Conference on Advanced Wireless Information, Data, and Communication Technologies

November 2017

116 pages

ISBN:9781450353106

DOI:10.1145/3231830

Editor:
Hani Hamdan

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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CNRS: Centre National De La Rechercue Scientifique

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Published: 13 November 2017

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AWICT 2017

AWICT 2017: Second International Conference on Advanced Wireless Information, Data, and Communication Technologies

November 13 - 14, 2017

Paris, France

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Cited By

Eid H(2023)Bio-Inspired Algorithms for Wireless Network OptimizationApplications of Artificial Intelligence in Wireless Communication Systems10.4018/978-1-6684-7348-1.ch002(13-35)Online publication date: 16-Jun-2023
https://doi.org/10.4018/978-1-6684-7348-1.ch002
Pourpanah FWang RLim CWang XYazdani D(2022)A review of artificial fish swarm algorithms: recent advances and applicationsArtificial Intelligence Review10.1007/s10462-022-10214-456:3(1867-1903)Online publication date: 21-Jun-2022
https://doi.org/10.1007/s10462-022-10214-4
Houssein ESaad MHussain KShaban HHassaballah M(2021)A Review of Metaheuristic Optimization Algorithms in Wireless Sensor NetworksMetaheuristics in Machine Learning: Theory and Applications10.1007/978-3-030-70542-8_9(193-217)Online publication date: 14-Jul-2021
https://doi.org/10.1007/978-3-030-70542-8_9
MECHTA DHAROUS S(2020)HC-LEACH: Huffman Coding-based energy-efficient LEACH protocol for WSN2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON51285.2020.9298061(0932-0938)Online publication date: 28-Oct-2020
https://doi.org/10.1109/UEMCON51285.2020.9298061
Houssein ESaad MHussain KZhu WShaban HHassaballah M(2020)Optimal Sink Node Placement in Large Scale Wireless Sensor Networks Based on Harris’ Hawk Optimization AlgorithmIEEE Access10.1109/ACCESS.2020.29689818(19381-19397)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2968981

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