文献类型：期刊文献

英文题名：A Generalized Cellular Automata Approach to Modelling Contagion and Monitoring for Emergent Events in Sensor Networks

作者：Huang, Ru[1]; Yang, Hongyuan[1]; Yang, Haochen[1]; Ma, Lei[1]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China

年份：2020

卷号：1181

起止页码：305

外文期刊名：Communications in Computer and Information Science

收录：EI(收录号：20212610558518)

语种：英文

外文关键词：Adaptive control systems - Cellular automata - Energy efficiency - Routers

摘要：In order to improve the invulnerability and adaptability in sensor networks, we propose a cellular automata (CA) based propagation control mechanism (CACM) to inhibit and monitor emergent-event contagion. The cellular evolving rules of CACM are figured in multi-dimension convolution operations and cell state transform, which can be utilized to model the complex behavior of sensor nodes by separating the intrinsic and extrinsic states for each network cell. Furthermore, inspired by burning pain for Wireworld based monitoring model, network entropy theory is introduced into layered states on CACM to construct particle-based information communication process by efficient distribution of event-related messages on network routers, thus an invulnerable and energy-efficient diffusion and monitoring being achieved. Experiment results prove that CACM can outperform traditional propagation models in adaptive invulnerability and self-recovery scalability on sensor networks for propagation control on malicious events. ? 2020, Springer Nature Singapore Pte Ltd.