文献类型：期刊文献

英文题名：The Sensor-Cloud System and Node Reliability Analysis

作者：Jin, Lingbo[1]; Lu, Xian[1]; Shao, Fangming[1]

机构：[1] Department of Mathematics, East China University of Science and Technology, Shanghai, 200237, China

年份：2021

卷号：12939 LNCS

起止页码：310

外文期刊名：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

收录：EI(收录号：20213910947778)

语种：英文

外文关键词：Monte Carlo methods - Reliability analysis - Reliability theory - Graph theory - Sensor networks

摘要：The sensor-cloud system (SCS) integrates sensors, sensor networks and cloud systems to manage sensors, collect and process data, and make decisions based on the processed data. And SCS reliability pertains to systems that can be modeled as graphs whose nodes and/or edges have associated probabilities of being operational. In particular, we analyze the reliability of nodes or a group of nodes in the SCS network. It refers to the probability that all the target nodes can be connected. In this paper, we give the network model of k-target nodes, and its reliability based on the structure of the SCS network and the node unreliability theory. For the computational complexity of the k-target reliability calculation, we use the Monte Carlo method to estimate network reliability based on the representation of the path between two nodes in a graph by the adjacency matrix. The simulation results show that we can effectively analyze the large-scale SCS network, and the proposed algorithm has reached the ideal accuracy. ? 2021, Springer Nature Switzerland AG.