HCABS: The hierarchical clustering algorithm based on soft threshold and cluster member bounds for wireless sensor networks

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概要

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• Wireless Sensor Networks (WSNs) for reducing energy consumption and increasing sensors lifetime can use the clustering algorithms. We propose a new energy-efficient hierarchical clustering algorithm based on soft threshold cluster-head election and cluster member bounds for WSNs which called HCABS. Our simulation studies suggest that HCABS achieves longer lifespan and reduce energy consumption in WSNs as well as low latency and moderate overhead across the network.

著者

• Hosseinzadeh Mehdi

  Department of Technical and Engineering, Science and Research Branch, Islamic Azad University

• Golsorkhtabaramiri Mehdi

  Department of Technical and Engineering, Science and Research Branch, Islamic Azad University

• Golsorkhtabaramiri Ali

  Mazandaran University of Science and Technology

• Heikalabad Saeed

  Department of Technical and Engineering, Science and Research Branch, Islamic Azad University

関連論文

• HCABS: The hierarchical clustering algorithm based on soft threshold and cluster member bounds for wireless sensor networks

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