Mohamed Eshtawie

Work place: Libyan Academy for Postgraduate Studies/Computer Science Department, Misurata, 218510, Libya

E-mail: m.eshtawie@it.misuratau.edu.ly

Website: https://orcid.org/0000-0000-0000-0000

Research Interests: Signal Processing, Computer Architecture and Organization

Biography

Mohamed Eshtawie has received the BSc in computer engineering 1990 from the Engineering Academy Tajoura, Libya. In 1999, he obtained the MSc in Computer Engineering from University Putra Malaysia. In 2008 He received his PhD in the field of signal processing and communication from the National University of Malaysia (2008). Currently he is an Associate Professor at the Libyan Academy Misurata, Libya.

Author Articles
Optimal Cluster Size for Wireless Sensor Networks

By Ahmed Sohoub Salem Sati Mohamed Eshtawie

DOI: https://doi.org/10.5815/ijwmt.2023.01.04, Pub. Date: 8 Feb. 2023

Since energy consumption is one of the main challenges in wireless sensors networks performance and efficiency, this paper discusses and proposes a mathematical model that compromises these two crucial parameters. In addition, number of clusters, cluster size, and number of cluster heads all contribute in network robustness; they have been studied and manipulated in details. This paper suggests a mathematical model that calculates and finds the optimal cluster size and number of sensors for Low Energy Adaptive Cluster Hierarchy (LEACH) protocol. Wireless Sensor Network (WSN) is a network includes devices (sensors) for collecting data by sensing the field. Clustering is one of the simplest strategies used to minimize the power lost in WSNs. Its performance is affected by network area and number of sensors. The cluster head is elected based on traditional Low Energy Adaptive Cluster Hierarchy protocol. The optimal cluster number is detected based on the condition of the LEACH delivery ratio. NS2.35 and MannaSim framework are applied for validating the proposed model. The results show that the proposed model is approved at different areas and nodes density. The optimal cluster size obtained by the proposed model is equivalent to optimal clusters number for 100 % delivery ratio of LEACH.

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