Coyote Optimization Using Fuzzy System for Energy Efficiency in WSN  

作　　者：Ahmed S.Almasoud Taiseer Abdalla Elfadil Eisa Marwa Obayya Abdelzahir Abdelmaboud Mesfer Al Duhayyim Ishfaq Yaseen Manar Ahmed Hamza Abdelwahed Motwakel 

机构地区：[1]Department of Information Systems,College of Computer and Information Sciences,Prince Sultan University,Saudi Arabia [2]Department of Information Systems-Girls Section,King Khalid University,Mahayil,62529,Saudi Arabia [3]Department of Biomedical Engineering,College of Engineering,Princess Nourah Bint Abdulrahman University,Riyadh,11671,Saudi Arabia [4]Department of Information Systems,College of Science and Artsat Mahayil,King Khalid University,Saudi Arabia [5]Department of Natural and Applied Sciences,College of Community-Aflaj,Prince Sattam bin Abdulaziz University,Saudi Arabia [6]Department of Computer and Self Development,Preparatory Year Deanship,Prince Sattam bin Abdulaziz University,AlKharj,Saudi Arabia

出　　处：《Computers, Materials & Continua》2022年第8期3269-3281,共13页计算机、材料和连续体（英文）

基　　金：The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work under grant number(RGP 1/282/42);Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2022R203),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.

摘　　要：In recent days,internet of things is widely implemented in Wireless Sensor Network(WSN).It comprises of sensor hubs associated together through the WSNs.The WSNis generally affected by the power in battery due to the linked sensor nodes.In order to extend the lifespan of WSN,clustering techniques are used for the improvement of energy consumption.Clustering methods divide the nodes in WSN and form a cluster.Moreover,it consists of unique Cluster Head(CH)in each cluster.In the existing system,Soft-K means clustering techniques are used in energy consumption in WSN.The soft-k means algorithm does not work with the large-scale wireless sensor networks,therefore it causes reliability and energy consumption problems.To overcome this,the proposed Load-Balanced Clustering conjunction with Coyote Optimization with Fuzzy Logic(LBC-COFL)algorithm is used.The main objective is to perform the lifespan by balancing the gateways with the load of less energy.The proposed algorithm is evaluated using the metrics such as energy consumption,throughput,central tendency,network lifespan,and total energy utilization.

关 键 词：CLUSTERING wireless sensor networks fuzzy logic energy efficient OPTIMIZATION 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]