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Adaptive decentralized re-clustering protocol for wireless sensor networks

Authors:

Irfan AwanAuthors Info & Claims

Journal of Computer and System Sciences, Volume 77, Issue 2

Pages 282 - 292

https://doi.org/10.1016/j.jcss.2010.01.007

Published: 01 March 2011 Publication History

Abstract

Wireless sensor networks are composed of a large number of sensor nodes with limited energy resources. One critical issue in wireless sensor networks is how to gather sensed information in an energy efficient way since the energy is limited. The clustering algorithm is a technique used to reduce energy consumption. It can improve the scalability and lifetime of wireless sensor network. In this paper, we introduce an adaptive clustering protocol for wireless sensor networks, which is called Adaptive Decentralized Re-Clustering Protocol (ADRP) for Wireless Sensor Networks. In ADRP, the cluster heads and next heads are elected based on residual energy of each node and the average energy of each cluster. The simulation results show that ADRP achieves longer lifetime and more data messages transmissions than current important clustering protocol in wireless sensor networks.

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Cited By

Manoharan J(2022)A Novel Load Balancing Aware Graph Theory Based Node Deployment in Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-022-09994-3128:2(1171-1192)Online publication date: 13-Sep-2022
https://dl.acm.org/doi/10.1007/s11277-022-09994-3
Rajesh DJaya T(2020)A Mathematical Model for Energy Efficient Secured CH Clustering Protocol for Mobile Wireless Sensor NetworkWireless Personal Communications: An International Journal10.1007/s11277-020-07036-4112:1(421-438)Online publication date: 13-Jan-2020
https://dl.acm.org/doi/10.1007/s11277-020-07036-4
Uma Maheswari DSudha S(2019)Node Degree Based Energy Efficient Two-Level Clustering for Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-018-6076-8104:3(1209-1225)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1007/s11277-018-6076-8
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Adaptive decentralized re-clustering protocol for wireless sensor networks

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Published In

cover image Journal of Computer and System Sciences

Journal of Computer and System Sciences Volume 77, Issue 2

March, 2011

229 pages

ISSN:0022-0000

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Copyright © Elsevier Inc. © 2010.

Publisher

Academic Press, Inc.

United States

Publication History

Published: 01 March 2011

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Cited By

Manoharan J(2022)A Novel Load Balancing Aware Graph Theory Based Node Deployment in Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-022-09994-3128:2(1171-1192)Online publication date: 13-Sep-2022
https://dl.acm.org/doi/10.1007/s11277-022-09994-3
Rajesh DJaya T(2020)A Mathematical Model for Energy Efficient Secured CH Clustering Protocol for Mobile Wireless Sensor NetworkWireless Personal Communications: An International Journal10.1007/s11277-020-07036-4112:1(421-438)Online publication date: 13-Jan-2020
https://dl.acm.org/doi/10.1007/s11277-020-07036-4
Uma Maheswari DSudha S(2019)Node Degree Based Energy Efficient Two-Level Clustering for Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-018-6076-8104:3(1209-1225)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1007/s11277-018-6076-8
Gherbi CAliouat ZBenmohammed M(2019)A Novel Load Balancing Scheduling Algorithm for Wireless Sensor NetworksJournal of Network and Systems Management10.1007/s10922-018-9473-027:2(430-462)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s10922-018-9473-0
(2018)Energy efficient with time synchronised and service coverage guarantee in wireless sensor networksInternational Journal of Communication Networks and Distributed Systems10.1504/IJCNDS.2018.09338921:1(56-79)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1504/IJCNDS.2018.093389
Amodu ORaja Mahmood R(2018)Impact of the energy-based and location-based LEACH secondary cluster aggregation on WSN lifetimeWireless Networks10.1007/s11276-016-1414-924:5(1379-1402)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.1007/s11276-016-1414-9
Wang SYu JAtiquzzaman MChen HNi L(2018)CRPDPersonal and Ubiquitous Computing10.1007/s00779-018-1117-622:3(545-559)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s00779-018-1117-6
(2017)Energy efficient data aggregation in wireless sensor networks using neural networksInternational Journal of Sensor Networks10.1504/IJSNET.2017.08420724:1(26-42)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1504/IJSNET.2017.084207
Shahraki AKuchaki Rafsanjani MBorumand Saeid A(2017)Hierarchical distributed management clustering protocol for wireless sensor networksTelecommunications Systems10.1007/s11235-016-0218-765:1(193-214)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1007/s11235-016-0218-7
Baranidharan BSanthi B(2016)DUCFApplied Soft Computing10.1016/j.asoc.2015.11.04440:C(495-506)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1016/j.asoc.2015.11.044
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