Energy-Efficient Hybrid K-Means Algorithm for Clustered Wireless Sensor Networks

Energy efficiency is the most critical challenge in wireless sensor network. The transmission energy is the most consuming task in sensor nodes, specifically in large distances. Clustered routing techniques are efficient approaches used to lower the transmission energy and maximize the network’s lifetime. In this paper, a hybrid clustered routing approach is proposed for energy optimization in WSN. This approach is based on K-Means clustering algorithm and LEACH protocol. The simulation results using MATLAB tool have shown that the proposed hybrid approach outperforms LEACH protocol and optimizes the nodes energy and the network lifetime

An energy-efficient clustering protocol using fuzzy logic and network segmentation for heterogeneous WSN

Wireless sensor networks have become an emerging research area due to their importance in the present industrial application. The enlargement of network lifetime is the major limitation in WSN. Several routing protocols study the extension of lifespan in WSN. Routing protocols significantly influence on the global of energy consumption for sensors in WSN. It is essential to correct the energy efficiency performance of routing protocol in order to improve the lifetime. The protocols based on clustering are the most routing protocols in WSN to reduce energy consumption. The protocols dedicate to WSN have demonstrated their limitation in expanding the lifetime of the network. In this paper, we present Hybrid SEP protocol : Multi-zonal Fuzzy logic heterogeneous Clustering based on Stable Election Protocol (FMZ-SEP). The FMZ-SEP characterizes by four parameters: WSN segmentation (splitting the WSN into the triangle zones ), the Subtractive Clustering Method to determine a correct number of clusters, the FCM and the SEP protocol. The FMZ-SEP prolong the stability period and extend the lifetime. The simulation results point out that the stability period of FMZ-SEP. FMZ-SEP protocol outperforms of MZ-SEP, FSEP and SEP protocol by improving the network lifetime and the stability period

Solar Energy Resource Assessment Using GHI and DNI Satellite Data for Moroccan Climate

Book coverBook coverInternational Conference on Advanced Technologies for HumanityICATH 2021: Advanced Technologies for Humanity pp 275–285Cite asSolar Energy Resource Assessment Using GHI and DNI Satellite Data for Moroccan Climate Omaima El Alani, Hicham Ghennioui, Mounir Abraim, Abdellatif Ghennioui, Philippe Blanc, Yves-Marie Saint-Drenan & Zakaria Naimi Conference paper First Online: 29 January 2022 456 Accesses 1 CitationsPart of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT,volume 110)AbstractSolar energy is in rapid development in Morocco. Thanks to its geographical and climatic location, the Kingdom of Morocco is privileged to develop large-scale solar energy exploitation. The knowledge of the solar potential in a given site is crucial for most solar energy applications. The present study aims to evaluate the energy potential in several cities in Morocco to provide guidance to solar energy users about the available amount of energy. The assessment was done using 10 years of data from the Helioclim3 satellite database. In addition to the solar potential analysis, we performed a classification of the days to determine the dominant climatology based on the clear sky index. The results showed the dominance of clear days toward all study sites, and selected sites may be a promising location for solar projects with annual global horizontal irradiation reaching 2075 kWh/m2 and direct normal irradiation reaching 2463 kWh/m2

PGAA metals analysis in tailings in Zaida abandoned mine, high Moulouya, Morocco

The basin of Moulouya Oued is a region where mining industry has been developed early in the 20th century. As a consequence, residues generated from past mining activities over the years have been dumped as piles of tailings. Zaïda is one of the most affected region in this basin because of lead mine exploitation for long time. The aim of this study is to determine the amount of trace elements and the contamination of the river sediments. Analysis of collected samples has been achieved using the prompt gamma activation analysis method. The samples, in form of powders, were enclosed in Teflon sheets. The spectra were analyzed using HYPERMET PC software and the chemical composition is calculated using an Excel-macro that provides the concentrations as molar and weight percentages, as well as the corresponding masses of the oxides. The validation of the analytical method is demonstrated with the analysis of a reference material. The results show that the distribution of the studied metals (Pb, Zn, Cu, Cd, Cr Ni, and As) in the basin is dependent on location with a very significant contamination by Pb, Zn, Cu, Cd, Cr, and Ni close to the lead mine sites

Abstracts of 1st International Conference on Computational & Applied Physics

This book contains the abstracts of the papers presented at the International Conference on Computational & Applied Physics (ICCAP’2021) Organized by the Surfaces, Interfaces and Thin Films Laboratory (LASICOM), Department of Physics, Faculty of Science, University Saad Dahleb Blida 1, Algeria, held on 26–28 September 2021. The Conference had a variety of Plenary Lectures, Oral sessions, and E-Poster Presentations. Conference Title: 1st International Conference on Computational & Applied PhysicsConference Acronym: ICCAP’2021Conference Date: 26–28 September 2021Conference Location: Online (Virtual Conference)Conference Organizer: Surfaces, Interfaces, and Thin Films Laboratory (LASICOM), Department of Physics, Faculty of Science, University Saad Dahleb Blida 1, Algeria