Communication Network Model Research Articles

Random walk prediction-based channel model for underground-mining visible-light communication network

A random walk prediction (RWP)-based channel model is founded in the underground-mining (UM) visible-light communication (VLC) network. Among the factors that influence the communication performance of the UM-VLC network, the most significant ones are the arbitrary positioning and orientation of optical transmitters and receivers, tunnels with irregular walls, shadowing by machinery or miners, and scattering from dust clouds. This analysis allows for the development of a more realistic RWP-based channel model. These factors are integrated into a single-channel model that facilitates the derivation of complex expressions. The parameters are the received power of the RWP-based channel model, channel impulse response, root mean square delay spread, signal-to-noise-ratio, and bit error rate. The simulation results show that the RWP-based channel model meets the practical requirements better than other models in the reference papers.

Digital interference signal filtering on laser interface for optical fiber communication

INTRODUCTION: Fiber laser communication is a communication method that uses laser and fiber medium to realize data transmission and information output OBJECTIVES: In order to reduce the signal interference of optical fiber communication laser interface and ensure the communication quality of optical fiber network. A filtering method of optical fiber communication laser interface interference signal based on digital filtering technology is designed. METHODS: In this paper, the interface model of optical fiber communication network is firstly constructed, and the interface noise signal is input into the digital filter bank. The digital quadrature filtering method and the least square algorithm are used to separate the denoised signals to reduce the crosstalk between the signals in the channel. In this way, the crosstalk component in the signal can be filtered out, and a better filtering processing effect of the laser interface interference signal can be achieved. RESULTS: The results of peak signal-to-noise ratio are above 25, which effectively filters the interference signal in the signal, and retains the effective signal completely. The intelligibility of optical fiber communication network in signal communication is above 0.94, and the highest value is 0.986. The distortion degree are all below 0.025, and the minimum value is 0.004. The communication bit error rate are all below 0.001, which ensures the communication quality of the network. CONCLUSION: The experimental results show that the signal noise reduction effect of the proposed method is good, which provides a reliable basis for filtering and separating interference signals of optical fiber communication laser interface.

Application of Outlier Detection Model in Korean Language and Culture Communication System Based on Artificial Intelligence.

With the continuous expansion of the Internet in China, network communication models and network services have become more and more complex, and with the increase of data types and diversification of data sources, network operation and maintenance projects have become more and more difficult. Passive statistical testing techniques for outliers are widely used, and many shortcomings have been pointed out, so there is an urgent need for improvement. After the research on the abnormal test of the text, it is determined that each method uses the visualization tool to simulate the data through the classification algorithm of the existing abnormal test and to identify the possibility of the data of each method and the PR diagram. The accuracy is counterintuitive. At present, Hallyu has a greater influence on the Internet, mainly in the fields of fashion and culture in Asian countries. Therefore, Korean language teaching has received widespread attention from the society, and combining cultural education with language teaching is an important way to improve the efficiency of language teaching. In the actual Korean language teaching work, a variety of Korean language materials are essential educational and teaching resources. The simulation results show that a large amount of training can make the DNN generate a better auto-encoder. In addition to strengthening the template for simulation training in deep learning, multiple supervisions of the data can be performed to reduce errors and improve efficiency.

Balanced Scheduling Method of Network Information Resources for Cloud Storage

In the network communication environment, the balanced scheduling of network information sharing resources can better improve the service quality of network communication. In the current network communication sharing resource balanced scheduling process, there are some problems, such as the completion time of resource scheduling is too long, the cost consumption is large, and so on. This paper proposes a balanced scheduling method of network information resources for cloud storage. By constructing the storage model of network communication shared resources, the network communication structure under big data is layered. Through the characteristic analysis of shared resource, equilibrium ratio is introduced to obtain the fitness function of network communication shared resources. The fitness function and convergence factor are used to solve the problem. The experimental results show that the network information resource balanced scheduling method for cloud storage needs shorter completion time and lower cost, which fully meets the research requirements.

The Psychological Risks and Harms of Working Children: Developing a Network Communication Model

The Psychological Risks and Harms of Working Children: Developing a Network Communication Model

Bionic Communication Network and Binary Pigeon-Inspired Optimization for Multiagent Cooperative Task Allocation

Toimprove the task execution efficiency of a multiagent system, an intelligent task allocation method combined with the bionic communication network and binary pigeon-inspired optimization (BPIO) is presented. This article first builds the bionic communication network model and introduces the visual attention mechanism with the threshold effect. Second, the version of BPIO based on fuzzy theory is put forward after reviewing the classical transfer functions. The comparison tests are conducted on the benchmark between the proposed one and other forms of BPIOs. Finally, the task assignment models of tasks, agents, and targets are established, where the bionic communication method is employed for information transfer, and the proposed BPIO is applied to generate the solutions of task allocation. The simulation results demonstrate that the proposed method is feasible and adaptable to deal with the multiple agents’ task allocation dynamically.

Modeling and Performance Analysis of Large-Scale Backscatter Communication Networks with Directional Antennas.

Backscatter communication (BackCom) constitutes intriguing technology that enables low-power devices in transmitting signals by reflecting ambient radio frequency (RF) signals that consume ultra-low energy. Applying the BackCom technique in large-scale networks with massive low-power devices can effectively address the energy issue observed in low-power devices. Prior studies only consider large-scale BackCom networks equipped with omni-directional antennas, called Omn-BackCom Net. To improve the network’s performance, we employ directional antennas in large-scale BackCom networks, called Dir-BackCom Nets. This article establishes a theoretical model for analyzing the performance of Dir-BackCom Nets. The performance metrics include both connectivity and spatial throughput. Our model is genaralized for both Dir-BackCom Nets and Omn-BackCom Net. The accuracy of our theoretical model is verified by extensive simulations. Results indicate that Dir-BackCom Nets can improve connectivity and spatial throughput. Moreover, results show that the throughput can be maximized by choosing an optimal density of BTs. In addition, both the connectivity and spatial throughput of BackCom Nets can be improved by choosing a directional antenna with a proper beamwidth and gain of the main lobe. Our theoretical model and results can offer beneficial implications for constructing Dir-BackCom Nets.

E-Commerce Data Access Control and Encrypted Storage Based on Internet of Things

In order to discuss the access control and encrypted storage of Internet of Things data for e-commerce data, a method of Internet of Things data access control and encrypted storage based on optical fiber network communication is proposed. Build an IoT application model based on optical fiber network communication, which consists of a perception layer, a network layer, and an application layer. The network layer is through the optical fiber communication network. The information collected by the optical fiber sensor in the perception layer is transmitted to the application layer for processing. And the model-aware layer adopts the dynamic transformation encryption method for attribute decomposition, and the Internet of Things data access control strategy based on key management and implement IoT data access control and encrypted storage based on the IoT application model of optical fiber network communication. The experimental results show that when this method implements access control and encrypted storage of IoT data, it has the advantages of high efficiency, low storage space overhead, and low computational cost of fiber network nodes, and the security of the processed IoT data is as high as 97.77%. Conclusion. This method can effectively deal with the limited computing performance and storage performance of the perception layer nodes of the application model; larger and larger application requirements with a large number of nodes.

A Multigraph-Defined Distribution Function in a Simulation Model of a Communication Network.

We presented a method based on multigraphs to mathematically define a distribution function in time for the generation of data exchange in a special-purpose communication network. This is needed for the modeling and design of communication networks (CNs) consisting of integrated telecommunications and computer networks (ITCN). Simulation models require a precise definition of network traffic communication. An additional problem for describing the network traffic in simulation models is the mathematical model of data distribution, according to which the generation and exchange of certain types and quantities of data are realized. The application of multigraphs enabled the time and quantity of the data distribution to be displayed as operational procedures for a special-purpose communication unit. A multigraph was formed for each data-exchange time and allowed its associated adjacency matrix to be defined. Using the matrix estimation method allowed the mathematical definition of the distribution function values. The application of the described method for the use of multigraphs enabled a more accurate mathematical description of real traffic in communication networks.

A Distributed Frequency Regulation Method for Multi-Area Power System Considering Optimization of Communication Structure

Nowadays, the influences of the communication structure on the frequency regulation performance in a multi-area power system are barely studied. In this paper, a decentralized frequency regulation method for a multi-area power system considering optimization of communication structure is presented, and the influence of the communication structure on the frequency regulation performance is studied. Firstly, the communication network model is described and the multi-area power system model considering communication structure is presented. Then, the optimization model of communication structure during a decentralized frequency regulation process is constructed. This model aims to speed up the convergence speed of the control together with ensuring the high algebraic connectivity of the communication structure. Quantum binary particle swarm optimization (QB-PSO) algorithm is introduced to solve this model and, based on this, the communication structure optimization process and frequency regulation method are proposed. The simulation results show that the proposed method could greatly improve the frequency control efficiency through the optimization of the communication structure.

Modeling and Performance Analysis of ECS-HTCARQ Protocol in Interference Scenario

To extend the lifetime of energy-constrained wireless networks, this paper proposes a three-node model of the wireless-powered cooperative communication network (WPCCN). The model consists of an energy-constrained source node, an energy-sufficient relay node, and a destination node and considers two different cochannel interference (CCI) sources at the relay and destination nodes. To ensure the reliability of data transmission, we introduce the cooperative automatic retransmission request (CARQ) protocol, propose the energy-constrained source that harvests and cooperates automatic retransmission request (ECS-HTCARQ) protocol in interference scenario, derive a closed-form expression for the outage probability under Rayleigh fading channels, and establish a discrete-time Markov chain (DTMC) model to analyze the system throughput. The relationship between parameters such as the energy harvesting time allocation factor and energy harvesting efficiency on the outage probability and the system throughput is obtained. Numerical results show that the difference in system throughput is small as the increasing number of transmissions at a high signal-to-interference ratio (SIR), but there is a significant reduction in the outage probability. Finally, the optimal value of the energy harvesting time allocation factor is given under this model.

On Quantum Algorithms for Random Walks in the Nonnegative Quarter Plane

It is well known that strong connections exist between random walks (RWs) in the nonnegative quarter plane and the mathematical performance modeling, analysis and optimization of computer systems and communication networks. Examples include adaptive threshold-based load balancing in concert with affinity scheduling (e.g., [16, 10]), scheduling parallel jobs on parallel computer systems (e.g., [15]), and asymptotic scalabilty in wireless and linear loss networks (e.g., [9]).

An Analysis of the Influence of Complex Networks in Cross-Cultural Communication

With the in-depth exchanges in various aspects such as global politics, economy and trade, and cultural exchanges, improving the cultural status of the Chinese nation has become a major strategic goal of the Chinese nation. In order to better pass on Chinese culture and to truly improve the effectiveness and influence of Chinese culture in international publicity, Chinese culture needs to gradually explore effective cross-language cultural communication methods and strategies to comprehensively improve Chinese culture in cross-language cultural exchange strength on the stage of global traditional cultural exchange. On the basis of analyzing the current situation of cross-cultural communication, the article studies the promoting effect of complex networks on cross-cultural communication. The results of the article show that (1) the influence of complex networks on cultural communication is relatively significant, and the complex network communication model is used. After that, the communicative competence of the three groups has been greatly improved, and among them, the group with the rapid growth of cultural level has the greatest room for growth. (2) The point-degree centrality of organizational relationship is 10, which is relatively high, indicating that organizational relationship is in the middle position among the influencing factors, and the value orientation has a strong mediating effect. (3) The propagation efficiency of the complex network model is the highest. With the increase of the time series, the propagation efficiency will also increase. The propagation efficiency of the complex network propagation model can reach 85%. When the number of nodes is 5000, the propagation efficiency of cultural information can reach 80%.

Design and performance analysis of WDM-FSO communication system using Polarization Shift Keying

Abstract FSO is the best communication medium for data transmission because of its high bandwidth, effective deployability and maximum transmission data rates with very high security. In this research paper an optical network model has been designed in the optisystem for different modulation schemes with WDM to enhance the capacity of the system. Attenuations for different weather conditions in Dehradun have been calculated and the performance has been evaluated accordingly. The performance is analysed in terms of BER (Bit Error Rate), maximum Q-factor, and eye height for each of the modulation schemes at different transmission distances and different weather attenuations. Analysis comprehends that the polarization shift keying is the best modulation technique for the WDM-FSO communication network among all. Thus, we suggest a model for an optical communication network using WDM and PolSK modulation scheme for Dehradun (Uttarakhand), where internet service is not very easy due to its extreme weather variations and got the excellent performance.

A Case Study of Digital Innovation Organization Readiness:Hidden Cost for Ambidexterity Performance

Cross-department communication barriers will lead to low efficiency and poor-quality work, which is common in most organizations in China. This will bring hidden costs to the organization and even impact long-term performance. In the digital transformation age, organization ambidexterity is more important than ever to obtain short-term and long-term benefits. This case study suggests to combine the ambidextrous and hidden costs theory for outlining a collaborative network communication model (CNCM), in order to investigate the effect between the cross-department communication operation structure and organizational performance. This case study provided data collection by three data sources: 40 interviews of managers and employees, company records, observations over three months. The findings of the field study of this case are that cross-department communication operation structure has an effect on organizational performance and digital innovation. It also suggests that CNCM positively influences organizational exploration and exploitation ability. It can also alleviate cross-department communication obstacles, low efficiency, and poor-quality work.

Communication barrier-incorporated network modeling for interorganizational opinion formation in emergency events

During and after an emergency event, multiple organizations with various specialties are involved in consensus decision-making to reduce the loss of lives and property in a timely manner. However, timely, high-consensus decision-making is challenging due to communication barriers between participating organizations. Thus, this study generalizes a conceptual communication network considering communication barriers by reviewing multiple historical emergencies and proposes a quantitative communication network model by integrating an opinion dynamics model and social network analysis (SNA). An illustrative example is provided by simulating two emergency decision-making scenarios to verify the proposed model. A case study of the 2013 Qingdao oil pipeline explosion is presented to demonstrate the feasibility and applicability of the proposed model. The results of the case study indicate that the proposed model can accurately quantify the impact of communication barriers on the opinion formation time. This research provides a quantitative toolkit for understanding and improving decision-making performance in various emergencies.

Metro Engineering Project Schedule Optimization Based on Wireless Network Communication and BIM Model Algorithm

BIM (Building Information Modeling) is to create models based on various related information in construction projects and use simulation virtual technology to model actual building information. It is not only the integration of digital information but also the application of digital information in engineering construction. Digital models can be used to plan and simulate the whole process of construction projects scientifically and accurately. In the process of project construction, wireless network communication technology can provide a good basis for collaboration, which is essential for the control of project progress, task scheduling, and systematic communication between all parties. This article introduces the LTE wireless network communication technology and network coverage plan, summarizes the cost and schedule control principles of construction projects, analyzes the factors that affect the construction schedule in subway construction, and introduces the application of BIM technology in subway construction schedule control. Taking the construction of Section XX of Line 1 of City A as an example, a simulation experiment was carried out, and the optimization effect was evaluated with SPI and CPI indicators. The final experimental results show that it is meaningful to use the BIM model algorithm to optimize the subway project. In the simulation experiment, the corresponding construction period saving rate after completion of the project is 6.94%.

Information Steganography Technology of Optical Communication Sensor Network Based on Virtual Reality Technology

In order to solve the problems of narrow object orientation and insufficient visual rendering ability of the optical communication network experimental system, the author proposes a multithreaded scheduling using virtual reality, and the experimental system design method of optical communication network with multichannel serial port design is proposed. The system builds the overall structure model of the optical communication network experimental system in the virtual reality environment, and uses the PCI bus technology to build the transmission channel model of the optical communication network, the basic entity object of the optical communication network experimental system is constructed, and the multithread scheduling method is used to process the local information of the experimental system. The result obtained is as follows: The experimental system of optical communication network designed by the author’s method, the optical communication transmission bit error rate is reduced by about 30%, the time overhead is saved by about 60%, and the memory overhead is saved by about 50%, which is superior. Using the author’s method, the maximum bit error rate is about 22%, while the maximum bit error rate of traditional method 1 is about 43%, and the maximum bit error rate of traditional method 2 is about 70%. It is proven that the visual simulation effect of the optical communication network experimental system is good, the reliability and stability of the optical communication network are improved, and the communication transmission error is reduced.

An improved quantum network communication model based on compressed tensor network states

An improved quantum network communication model based on compressed tensor network states

Neveu’s Exchange Formula for Analysis of Wireless Networks With Hotspot Clusters

Theory of point processes, in particular Palm calculus within the stationary framework, plays a fundamental role in the analysis of spatial stochastic models of wireless communication networks. Neveu’s exchange formula, which connects the respective Palm distributions for two jointly stationary point processes, is known as one of the most important results in the Palm calculus. However, its use in the analysis of wireless networks seems to be limited so far and one reason for this may be that the formula in a well-known form is based upon the Voronoi tessellation. In this paper, we present an alternative form of Neveu’s exchange formula, which does not rely on the Voronoi tessellation but includes the one as a special case. We then demonstrate that our new form of the exchange formula is useful for the analysis of wireless networks with hotspot clusters modeled using cluster point processes.