Robust evaluation method of communication network based on the combination of complex network and big data

In order to solve the problem that many people communicate at the same time, there are many external interference factors, and the signal is prone to instability in the process of electronic communication, the author proposes a signal optimization method for electronic communication network based on the Internet of Things. The method takes the cloud trust mechanism as the dynamic evolution trust relationship between various Internet of Things electronic communication services, performs explicit and implicit uncertainty conversion, calculates the objective function of data communication network performance, and confirms the control strategy. The positioning information of the network nodes in the communication is added to the communication data packet, and the most stable electronic communication path in the network is obtained to form the network topology structure. The Krasovsky method is adopted, and the working state of the nodes of the communication network is divided into the congested state and the normal state, the probability of the two is calculated, and the range of the transition balance is determined, so as to realize the optimization of the stability of the network topology. Experimental results show that the transmission rate of this method has been maintained at about 180 Kb/s; although there is fluctuation, the fluctuation value is small and the transmission rate is very stable. Conclusion. It can improve the accuracy of electronic communication of the Internet of Things and is less affected by external interference factors, and the communication transmission rate is faster.

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“…Based on formula (9), the value of the equilibrium point is calculated by formula (10). The specific formula is…”

Section: Stability Optimization Implementationmentioning

confidence: 99%

“…Cloud computing technology is mainly based on resource model and information technology, which is a new computer technology [8,9]. Because of the characteristics of cloud computing itself and its advantages in practical applications, cloud computing has become an advanced technology used in current computer networks.…”

Section: Introductionmentioning

confidence: 99%

Signal Optimization of Electronic Communication Network Based on Internet of Things

Feng

Wang

2022

Journal of Sensors

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“…Feature selection and feature dimensionality reduction are the key steps to achieve feature research. The main research in this article is feature selection technology [3].…”

Section: Introductionmentioning

confidence: 99%

Optimization Distribution Method of Computer Sensor Network Communication Based on the Linear Planning Model

et al. 2022

Journal of Sensors

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In order to explore the optimal allocation method of computer network communication, a linear programming model is proposed. Based on the overall structure of service chain deployment, the integer linear programming model is introduced to make mathematical modeling, so that network resources and load balancing can be effectively utilized under resource and delay constraints. Simulation results showed that in the experiment, 10 to 100 SFC request intensities were generated, respectively, calculating the request acceptance rates of the three deployment algorithms. Under the same conditions, the average request acceptance rate based on the G-kSP algorithm is about 95.4% and about 92.3%, and the greedy deployment algorithm is about 81.7%. We show that the optimized distribution method of computer sensor network communication based on a linear programming model reduces the load balance and time complexity while reducing the request acceptance rate.

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“…These networks are an important interdisciplinary research field that has attracted the interest of many scholars. In recent years, many new advances have been made in the research of complex networks, such as the spread and stability of complex networks [5,6], the synchronization and consensus of multi-layer complex networks [7][8][9][10][11][12][13][14][15], diffusion in multi-layer networks [16][17][18][19][20], and the modeling and robustness of multi-layer complex networks [21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Synchronizability of Multi-Layer-Coupled Star-Composed Networks

Gao¹,

Zhu

et al. 2021

Symmetry

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In this paper, several multi-layer-coupled star-composed networks with similar symmetrical structures are defined by using the theory of graph operation. The supra-Laplacian matrix of the corresponding multi-layer networks is obtained according to the master stability equation (MSF). Two important indexes that reflect the synchronizability of these kinds of networks are derived in the case of bounded and unbounded synchronized regions. The relationships among the synchronizability, the number of layers, the length of the paths, the branchings, and the interlayer and intralayer coupling strengths in the two cases are studied. At the same time, the simulation experiments are carried out with the MATLAB software, and the simulated images of the two symmetrical structure networks’ synchronizability are compared. Finally, the factors affecting the synchronizability of multi-layer-coupled star-composed networks are found. On this basis, optimization schemes are given to improve the synchronizability of multi-layer-coupled star-composed networks and the influences of the number of central nodes on the networks’ synchronizability are further studied.

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Robust evaluation method of communication network based on the combination of complex network and big data

Cited by 9 publications

References 16 publications

Signal Optimization of Electronic Communication Network Based on Internet of Things

Signal Optimization of Electronic Communication Network Based on Internet of Things

Optimization Distribution Method of Computer Sensor Network Communication Based on the Linear Planning Model

Synchronizability of Multi-Layer-Coupled Star-Composed Networks

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