scholarly journals Research on Dynamic Evolution Model and Method of Communication Network Based on Real War Game

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 487
Author(s):  
Tongliang Lu ◽  
Kai Chen ◽  
Yan Zhang ◽  
Qiling Deng
Keyword(s):  
Communication Network ◽  
Simulation Method ◽  
Dynamic Evolution ◽  
Power Law Distribution ◽  
Generation Algorithm ◽  
Distribution Strategy ◽  
Combat Games ◽  
Collaborative Processing ◽  
Battle Scene ◽  
Mutually Independent

Based on the data in real combat games, the combat System-of-Systems is usually composed of a large number of armed equipment platforms (or systems) and a reasonable communication network to connect mutually independent weapons and equipment platforms to achieve tasks such as information collection, sharing, and collaborative processing. However, the generation algorithm of the combat system in the existing research is too simple and not suitable for reality. To overcome this problem, this paper proposes a communication network generation algorithm by adopting the joint distribution strategy of power law distribution and Poisson distribution to model the communication network. The simulation method is used to study the operation under continuous attack on communication nodes. The comprehensive experimental results of the dynamic evolution of the combat network in the battle scene verify the rationality and effectiveness of the communication network construction.

scholarly journals A quality-of-service-aware dynamic evolution model for space–ground integrated network

2017 ◽  
Vol 13 (8) ◽  
pp. 155014771772864 ◽  
Author(s):  
Zhuo Yi ◽  
Xuehui Du ◽  
Ying Liao ◽  
Lifeng Cao
Keyword(s):  
Quality Of Service ◽  
Degree Distribution ◽  
Preferential Attachment ◽  
Small World ◽  
Evolution Model ◽  
Dynamic Evolution ◽  
Power Law Distribution ◽  
Integrated Network ◽  
Complex Network Theory

Space–ground integrated network, a strategic, driving, and irreplaceable infrastructure, guarantees the development of economic and national security. However, its natures of limited resources, frequent handovers, and intermittently connected links significantly reduce the quality of service. To address this issue, a quality-of-service-aware dynamic evolution model is proposed based on complex network theory. On one hand, a quality-of-service-aware strategy is adopted in the model. During evolution phases of growth and handovers, links are established or deleted according to the quality-of-service-aware preferential attachment following the rule of better quality of service getting richer and worse quality of service getting poor or to die. On the other hand, dynamic handover of nodes and intermittent connection of links are taken into account and introduced into the model. Meanwhile, node heterogeneity is analyzed and heterogeneous nodes are endowed with discriminate interactions. Theoretical analysis and simulations are utilized to explore the degree distribution and its characteristics. Results reveal that this model is a scale-free model with drift power-law distribution, fat-tail and small-world effect, and drift character of degree distribution results from dynamic handover. Furthermore, this model exerts well fault tolerance and attack resistance compared to signal-strength-based strategy. In addition, node heterogeneity and quality-of-service-aware strategy improve the attack resistance and overall quality of service of space–ground integrated network.

scholarly journals Dynamic Analysis of Emergency Inter-organizational Communication Network under Public Health Emergency ： A case study of COVID-19 in Hubei Province of China

2021 ◽  
Author(s):  
Yunmeng Lu ◽  
Tiezhong Liu ◽  
Tiantian Wang
Keyword(s):  
Public Health ◽  
Communication Network ◽  
Communication Networks ◽  
Emergency Response ◽  
Dynamic Evolution ◽  
Emergency Communication ◽  
Public Health Emergencies ◽  
The Core ◽  
Different Types ◽  
Evolution Of Communication

Abstract Public health emergencies, especially major infectious diseases, may cause global crises. Timely and effective communication is essential for response to such incidents. However, the emergency response to such incidents usually lasts longer and break out repeatedly, and the existing static emergency communication network (ECN) analysis cannot fully reflect the dynamic information interaction between organizations during the emergency process. Therefore, this article takes the recent COVID-19 epidemic in Hubei, China as a case, and uses social network analysis (SNA) to reveal the dynamic evolution of communication networks, organizational positions, roles, and organizational tasks from the time dimension. The results show that: (1) The ECN has changed from concentrated to decentralized over time; (2) The positions and roles of participating organizations in the ECN has changed, but there are still a few key organizations that at the central position in all phases of emergency communication; (3) The core tasks have changed due to emergency needs at each stage; (4) Under the concentrated management system, the core organization of the ECN mainly comes from government organizations. The research results reveal the dynamic evolution of communication networks between different types of emergency organizations, which is beneficial to guide emergency management of public health emergencies. In actual emergency, the emergency communication mode should be dynamically adjusted based on the characteristics of the emergency situation at different stages, comprehensively using the advantages of the concentrated and decentralized emergency network. In addition, communication between different types of organizations such as governments, research institutions, and enterprises should be strengthened, and channels for diversified organizations to participate in emergency communication should be set up. The research helps to improve communication between emergency response organizations and is of great significance to controlling and reducing the harm caused by public health emergencies.

scholarly journals Effectiveness of Rastra Bulog Rice Distribution Using Agent Based Modeling and Simulation Tools

2021 ◽  
Vol 5 (1) ◽  
pp. 84-92
Author(s):  
Roro Arinda Reswanti Julian Pratama ◽  
Muchammad Rusdan
Keyword(s):  
Modeling And Simulation ◽  
Low Income ◽  
Simulation Method ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Rice Distribution ◽  
Distribution Strategy ◽  
Delivery Times ◽  
Distribution Process ◽  
The Government

The Rastra Rice Program is one of the programs planned by the government to reduce the burden on target households (RTS – Rumah Tangga Sasaran). This program provides relief to the community by distributing Rastra Rice which is suitable for consumption. BULOG become one of the state-owned institutions appointed by the government to provide and distribute subsidized rice for low-income groups, the provision prioritizes the procurement of rice/rice from farmers in the country. The main objective of this research is to find a better distribution strategy so that the distribution process of Rastra rice is efficient, minimizes delays from delivery times, and minimizes the risk of storage costs. The research method used is descriptive qualitative with data collection methods using observation techniques and literature studies, while the method in determining the distribution strategy using agent-based modeling and simulation. Agent-based Model (ABM) based simulation method for Rastra rice distribution using the Multi-Agent Simulation (MASIM) stage, namely, the requirements stage, the modeling stage, the design, and architectural stage, the implementation stage, the verification stage, validation, and accreditation.

scholarly journals Communication network reliability and availability estimation by the simulation method

2011 ◽  
Vol 59 (4) ◽  
pp. 7-14
Author(s):  
Slavko J. Pokorni ◽  
Dušan Đ. Ostojić ◽  
Dragoljub M. Brkić
Keyword(s):  
Communication Network ◽  
Network Reliability ◽  
Simulation Method ◽  
Reliability And Availability
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