article

An energy-efficient load balancing scheme to extend lifetime in wireless sensor networks

Author:

Hye-Young KimAuthors Info & Claims

Cluster Computing, Volume 19, Issue 1

Pages 279 - 283

https://doi.org/10.1007/s10586-015-0526-9

Published: 01 March 2016 Publication History

Abstract

The role of load balancing in wireless sensor networks is to provide a constant and reliable service. Applications with periodic data generation for wireless sensor networks require the maximum lifetime of the network. Most research imposes mainly on how to maximize the lifetime of the sensor nodes for the load balancing in order to performance and effeteness in the wireless sensor networks. Because the energy consumption is related to lifetime of the sensor nodes and the energy is a strictly limited resource in wireless sensor networks. Also, energy consumption optimization is required to synchronize the lifetime of the nodes with the whole network lifetime. For this reason, we address the lifetime maximization problem then we improves a novel load balancing scheme that balance the energy consumption of the sensor nodes and maximum network lifetime by load balancing applying the sub-network management in wireless sensor networks. Then, we propose a scheme using analytical models and compare the results with the previous researches. Our simulation result shows that the sensor nodes operate together for full network lifetime and it indicates maximum utilization of the usable energy of the wireless sensor network.

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An energy-efficient load balancing scheme to extend lifetime in wireless sensor networks

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Published In

cover image Cluster Computing

Cluster Computing Volume 19, Issue 1

March 2016

545 pages

ISSN:1386-7857

Issue’s Table of Contents

Copyright © Copyright © 2016 Springer Science+Business Media New York.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 March 2016

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Cited By

Jin BKhan FAlturki RIkram M(2022)A reliable wireless communication mechanisms and decision support system for the IoT networksSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-022-06875-626:20(10707-10716)Online publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1007/s00500-022-06875-6
Gupta PTripathi SSingh S(2021)RDA-BWO: hybrid energy efficient data transfer and mobile sink location prediction in heterogeneous WSNWireless Networks10.1007/s11276-021-02678-z27:7(4421-4440)Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1007/s11276-021-02678-z
Kulshrestha JMishra M(2021)Energy balanced data gathering approaches, issues and research directionsTelecommunications Systems10.1007/s11235-020-00714-576:2(299-327)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1007/s11235-020-00714-5
Senthil kumar VPrasanth K(2020)Weighted Rendezvous Planning on Q-Learning Based Adaptive Zone Partition with PSO Based Optimal Path SelectionWireless Personal Communications: An International Journal10.1007/s11277-019-06717-z110:1(153-167)Online publication date: 1-Jan-2020
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Alchihabi ADervis AEver EAl-Turjman F(2019)A generic framework for optimizing performance metrics by tuning parameters of clustering protocols in WSNsWireless Networks10.1007/s11276-018-1665-825:3(1031-1046)Online publication date: 1-Apr-2019
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