Network Invulnerability Enhancement Algorithm Based on WSN Closeness Centrality
作者机构：School of Artificial IntelligenceBeijing Technology and Business UniversityBeijing100048China Beijing Laboratory for Intelligent Environmental ProtectionBeijing100048China Beijing Institute of Fashion TechnologyBeijing100029China Smart City CollegeBeijing Union UniversityBeijing100101China University College DublinDublin4Ireland
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2022年第73卷第11期
页 面：3021-3038页
核心收录：
学科分类：0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：This research was funded by the National Natural Science Foundation of China,No.61802010 Hundred-Thousand-Ten Thousand Talents Project of Beijing No.2020A28 National Social Science Fund of China,No.19BGL184 Beijing Excellent Talent Training Support Project for Young Top-Notch Team No.2018000026833TD01 Academic Research Projects of Beijing Union University,No.ZK30202103.
主 题：Wireless sensor networks invulnerability small world characteristics heterogeneous nodes node centrality
摘 要：Wireless Sensor Network(WSN)is an important part of the Internet of Things(IoT),which are used for information exchange and communication between smart objects.In practical applications,WSN lifecycle can be influenced by the unbalanced distribution of node centrality and excessive energy consumption,etc.In order to overcome these problems,a heterogeneous wireless sensor network model with small world characteristics is constructed to balance the centrality and enhance the invulnerability of the network.Also,a new WSN centrality measurement method and a new invulnerability measurement model are proposed based on the WSN data transmission characteristics.Simulation results show that the life cycle and data transmission volume of the network can be improved with a lower network construction cost,and the invulnerability of the network is effectively enhanced.
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