University of Bahrain
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Enhanced Clustering Algorithm for Efficient Clustering in Wireless Sensor Network

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dc.contributor.author AL-Asadi, Hamid
dc.date.accessioned 2020-07-01T21:06:06Z
dc.date.available 2020-07-01T21:06:06Z
dc.date.issued 2020-07-01
dc.identifier.issn 2210-142X
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/3878
dc.description.abstract Wireless sensor network (WSN) is a network formed as resultant interconnection of multitude of sensor nodes. The main challenging question here is to lessen energy ingesting during sensing, processing and communication. In this paper, a well evaluated distributed clustering strategy, the Hybrid Integrated Clustering Algorithm (HICA) has been proposed for interconnecting two sensor fields. The proposed clustering algorithm is a hybrid and integrated clustering procedure which employs grid nodes, range-based transmission power, one-step clustering mechanism and cluster head panel. The performance evaluation of the suggested procedure is compared against O-LEACH and HEED. Simulation results clearly show an excellent upgrading in network lifetime, improved residual energy, reduced energy consumption, improved throughput and evenness in cluster head selection, thereby applicable for connecting two detached wireless sensor network fields.649 en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject WSN, Distributed Clustering, Grid Nodes, Range-Based Transmission Power, Throughput And Network Lifetime en_US
dc.title Enhanced Clustering Algorithm for Efficient Clustering in Wireless Sensor Network en_US
dc.type Article en_US
dc.identifier.doi http://dx.doi.org/10.12785/ijcds/0904121
dc.volume 9 en_US
dc.issue 4 en_US
dc.pagestart 649 en_US
dc.pageend 655 en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US


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