You are in:Home/Publications/An information entropy based-clustering algorithm for heterogeneous wireless sensor networks | |
Dr. Walid Osamy Mahmoud El-Sherif :: Publications: |
Title: | An information entropy based-clustering algorithm for heterogeneous wireless sensor networks |
Authors: | Walid Osamy, Ahmed Salim, Ahmed M Khedr |
Year: | 2018 |
Keywords: | Not Available |
Journal: | Wireless networks |
Volume: | Not Available |
Issue: | Not Available |
Pages: | Not Available |
Publisher: | Not Available |
Local/International: | International |
Paper Link: | Not Available |
Full paper | Not Available |
Supplementary materials | Not Available |
Abstract: |
This paper proposes a novel dynamic, distributive, and self-organizing entropy based clustering scheme that benefits from the local information of sensor nodes measured in terms of entropy and use that as criteria for cluster head election and cluster formation. It divides the WSN into two-levels of hierarchy and three-levels of energy heterogeneity of sensor nodes. The simulation results reveal that the proposed approach outperforms existing baseline algorithms in terms of energy consumption, stability period, and the network lifetime. |