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Title |
A Novel Clustering Algorithm for Homogenous and Large-Scale Wireless Sensor Networks: Based on Sensor Nodes Deployment Location Coordinates |
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Author |
Hossein Jadidoleslamy |
| Citation |
Vol. 14 No. 2 pp. 97-109 |
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Abstract |
Wireless sensor networks (WSNs) are new generation of wireless networks which have many potential applications and unique challenges. Some of their most important problems are their hard organization and management, limited resources, dynamic topology and scalability. One significant technique against to these problems is clustering. Clustering leads to more scalability, energy efficiency, prolonged network lifetime and easy management of large-scale WSNs. As a result, this paper is focused on WSNs' clustering and it be represented a new centralized clustering algorithm for homogenous and large-scale WSNs. The proposed clustering algorithm is based on calculating distances between sensor nodes, Distance Average (DA) between each node and other nodes, finding distance average range, dividing it into K sub-range and selecting associated nodes of each sub-range. The proposed algorithm using of the WSN's sensor nodes deployment location coordinates. Also, all of these calculations will be done by Sink through using of mathematical and statistical formula, in centralized. This work enables us to verify the purpose and capabilities of the WSNs and clustering techniques. Also, it would enable WSNs' designers and managers to design, organize and manage WSNs, more significantly. |
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Keywords |
Wireless Sensor Network (WSN), Clustering, Sensor Nodes Coordinates, Distances, Distance Average, Centralized, Homogenous, Large-Scale |
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