文章基本信息

标题：CDLN - CLUSTER DISTANCE BASED DATA FORWARDING AND OPTIMAL LEADER ELECTION USING FUZZY INFERENCE IN WIRELESS NETWORK
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作者：Sachidanand S Joshi ; Sangappa Ramachandra Biradar
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2021
卷号：12
期号：4
页码：1074-1083
DOI：10.21817/indjcse/2021/v12i4/211204218
语种：English
出版社：Engg Journals Publications
摘要：Wireless networks in general can consume a lot of energy and incur losses if they do not have the right protocols to properly add packets to the destination. Similarly, if the connectivity of the network nodes is different, its resource losses will be higher. Thus, the network will quickly disconnect and cause very high losses. As well as wireless nodes, this sends various data, so energy losses are high. This proposed method - CDLN – cluster distance-based data forwarding and optimal leader election using fuzzy inference in wireless network -is designed to take care of all these and formulate routing accordingly. In this method, the cluster set is formed and the main leader and assistant leaders are selected. Thus, when the main leader is disconnected, the assistant cluster acts to prevent network loss. Because the transmission ranges in this network are different sizes, the cluster set will have different members. These cluster sets are formed in a fuzzy inference mode and set up with precise leaders and routing, thus reducing energy costs, network life time and the number of dead nodes. It can also be seen in the output that the network lasts longer.
关键词：Main Leader;Assistant Leader;Various Data;Energy reduction;Cluster Routing