Trust Secure Data Aggregation in Wsn-Based Iiot with Single Mobile Sink

作     者：Liu, Xiaowu Yu, Jiguo Yu, Kan Wang, Guijuan Feng, Xingjian 

作者机构：School of Computer Science Qufu Normal University Rizhao276826 China Big Date Institute Qilu University of Technology Shandong Academy of Sciences Jinan250353 China Shandong Labortary of Computer Networks Jinan250014 China Big Data Institute Qilu University of Technology Shandong Jinan250353 China Big Data Center of Weifang City Shandong Weifang261000 China 

出 版 物：《SSRN》 

年 卷 期：2021年

核心收录：

主　　题：Wireless sensor networks 

摘      要：Wireless Sensor Networks (WSNs), as the fundamental infrastructure, are indispensable for Industrial Internet of Things (IIoT). In particular, the security and effectiveness of WSNs in IIoT are the universal and inevitable issues. In this paper, a WSN-based IIoT Model (WIM) is designed characterizing by a single mobile sink. Based on WIM, a high robust aggregation tree algorithm and an outlier elimination scheme are proposed in a virtual grid network with the mobile sink, which can acquire data in a real-time and accurate manner. Moreover, a trust secure data aggregation mechanism is applied in WIM which takes both the direct trust and the indirect trust into consideration to perform the secure data aggregation without losing the effectiveness of network even if the sink moves randomly. The simulation results show that the proposed model and algorithms can promote the performances of WSNs in terms of accuracy, effectiveness and delay. © 2021, The Authors. All rights reserved.