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Energy-Efficient Cluster in Wireless Sensor network Using Life Time Delay Clustering Algorithms

Computer Systems Science & Engineering 2022年第10期43卷 77-86页

作者： V.Kumar n.jayapandian P.Balasubramanie Department of Computer Science and Engineering Knowledge Institute of TechnologySalemIndia Department of Computer Science and Engineering Christ UniversityBangaloreIndia Department of Computer Science and Engineering Kongu Engineering CollegePerunduraiIndia

Through Wireless Sensor networks(WSn)formation,industrial and academic communities have seen remarkable development in recent *** of the most common techniques to derive the best out of wireless sensor networks is to upgrade the operating *** most important problem is the arrangement of optimal number of sensor nodes as clusters to discuss clustering *** this method,new client nodes and dynamic methods are used to determine the optimal number of clusters and cluster heads which are to be better organized and proposed to classify each *** of effective energy use and the ability to decide the best method of attachments are *** Problem coverage find change ability network route due to which traffic and delays keep the performance to be very high.A newer version of Gravity Analysis Algorithm(GAA)is used to solve this *** proposed new approach GAA is introduced to improve network lifetime,increase system energy efficiency and end delay *** results show that modified GAA performance is better than other networks and it has more advanced Life Time Delay Clustering Algorithms-LTDCA *** proposed method provides a set of data collection and increased throughput in wireless sensor networks.

关键词： WSns Gravity analysis algorithm-GAA life time delay clustering algorithms-LTDCA end to end delay energy efficient

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