Affiliation:
1. School of Mathematics and Computer Science, Ningxia Normal University, Guyuan Ningxia 756000, China
Abstract
In this paper, the reliability of data transmission in social networks is thoroughly studied and analyzed using wireless sensor network topology technology. This paper, based on the introduction of sensor network reliability analysis-related technology, combined with the characteristics, and needs of the sensor network itself, focuses on the study of the reliability analysis of the sensor network under the state of perturbation scheme. Based on the idea of making full use of data changes to respond to the sensor state, this paper takes the actual monitoring data of the wireless sensor network as the research object, selects the temporal correlation and spatial correlation of the measured environmental data as the reliability index by extracting the features of the wireless sensor network data, and proposes the Evidential reasoning rule- (ER-) based wireless sensor network data reliability assessment model based on Evidential reasoning rule (ER) is proposed. The data are mined, analyzed, and quantified from the perspective of content popularity, and the interest indicators of nodes on data under content popularity are analyzed to derive stable interest quantification values. Combined with the network properties, i.e., node autoassembly community, we analyze the data dissemination characteristics of social networks in wireless sensor network topology environment and derive the upper and lower bounds of data transmission capacity under node interest-driven and its variation on network performance. Social relationships among nodes affected by social attributes are considered; in turn, the data forwarding behavior of nodes is modeled using data transmission probability and data reception probability; finally, the data forwarding process is analyzed and a closed expression for the average end-to-end transmission capacity is derived in turn.
Funder
Ningxia Colleges and Universities
Subject
Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering
Cited by
2 articles.
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1. Comprehensive Survey on the Reliability of Wireless Sensor Networks;2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART);2022-12-16
2. An improved approach for energy consumption minimizing in WSN using Harris hawks optimization;Journal of Intelligent & Fuzzy Systems;2022-08-10