scholarly journals On the Connectivity of Wireless Network Systems and an Application in Teacher-Student Interactive Platforms

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Xun Ge
Keyword(s):  
Wireless Network ◽  
Rough Set Theory ◽  
Base Stations ◽  
Network System ◽  
Mathematical Methods ◽  
Network Systems ◽  
Approximation Spaces ◽  
Research Education ◽  
Teacher Student ◽  
Mathematical Sciences

A wireless network system is a pair(U;B), whereBis a family of some base stations andUis a set of their users. To investigate the connectivity of wireless network systems, this paper takes covering approximation spaces as mathematical models of wireless network systems. With the help of covering approximation operators, this paper characterizes the connectivity of covering approximation spaces by their definable subsets. Furthermore, it is obtained that a wireless network system is connected if and only if the relevant covering approximation space has no nonempty definable proper subset. As an application of this result, the connectivity of a teacher-student interactive platform is discussed, which is established in the School of Mathematical Sciences of Soochow University. This application further demonstrates the usefulness of rough set theory in pedagogy and makes it possible to research education by logical methods and mathematical methods.

scholarly journals A New Covid-19 Tracing Approach using Machine Learning and Drones Enabled Wireless Network

2021 ◽  
Vol 15 (22) ◽  
pp. 111
Author(s):  
Ayoub Alsarhan ◽  
Islam Almalkawi ◽  
Yousef Kilani
Keyword(s):  
Wireless Network ◽  
Communication Technologies ◽  
Base Stations ◽  
Network Systems ◽  
Wireless System ◽  
Wireless Monitoring ◽  
Iot Devices ◽  
Cloud Servers ◽  
Exchange Data

<p class="0abstract">The continuous advancements in wireless network systems have reshaped the healthcare systems towards using emerging communication technologies at different levels. This paper makes two major contributions. Firstly, a new monitoring and tracking wireless system is developed to handle the COVID-19 spread problem. Unmanned aerial vehicles (UAVs), i.e., drones, are used as base stations as well as data collection points from Internet of Things (IoT) devices on the ground. These UAVs are also able to exchange data with other UAVs and cloud servers. Secondly, this paper introduces a new reinforcement learning (RL) framework for learning the optimal signal-aware UAV trajectories under quality of service constraints. The proposed RL algorithm is instrumental in making the UAV movement decisions that maximize the signal power at the receiver and the data collected from the ground agents. Simulation experiments confirm that the system overcomes conventional wireless monitoring systems and demonstrates efficiency especially in terms of flexible continues connectivity, line-of sight visibility, and collision avoidance.</p>

scholarly journals Views of wireless network systems.

2003 ◽  
Author(s):  
William Frederick Young ◽  
David Patrick Duggan
Keyword(s):  
Wireless Network ◽  
Network Systems

scholarly journals Rare Event Simulation in a Dynamical Model Describing the Spread of Traffic Congestions in Urban Network Systems

2021 ◽  
Author(s):  
Getachew K. Befekadu
Keyword(s):  
Traffic Congestion ◽  
Rare Event ◽  
Dynamical Model ◽  
Network System ◽  
Mathematical Framework ◽  
Traffic Network ◽  
Network Systems ◽  
Urban Network ◽  
Event Simulation ◽  
Rare Event Simulations

In this chapter, we present a mathematical framework that provides a new insight for understanding the spread of traffic congestions in an urban network system. In particular, we consider a dynamical model, based on the well-known susceptible-infected-recovered (SIR) model from mathematical epidemiology, with small random perturbations, that describes the process of traffic congestion propagation and dissipation in an urban network system. Here, we provide the asymptotic probability estimate based on the Freidlin-Wentzell theory of large deviations for certain rare events that are difficult to observe in the simulation of urban traffic network dynamics. Moreover, the framework provides a computational algorithm for constructing efficient importance sampling estimators for rare event simulations of certain events associated with the spread of traffic congestions in the dynamics of the traffic network.

Critical Success Factors to Create 5G Networks in the Smart Cities of India From the Security and Privacy Perspectives

2020 ◽  
pp. 263-285
Author(s):  
Sheshadri Chatterjee
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Driving Forces ◽  
Smart Cities ◽  
Security And Privacy ◽  
Network System ◽  
Network Systems ◽  
Critical Success ◽  
5G Network ◽  
Privacy Issues

Development of cities brings in overall economic growth of the country. As a result, cities are taking new shape with modern facilities to ensure development. In this perspective, Government of India (GOI) has announced to create 100 Smart Cities across different locations in India. In these Smart Cities, modern infrastructure would be created with introduction of modern 5G network systems. This network system is expected to bring in considerable improvements in the Smart Cities if the security and privacy issues involved in this system can be addressed. This chapter has taken an attempt to identify the critical success factors (CSFs) instrumental to improve this network system within the acceptable level of security and privacy vulnerabilities in Smart Cities of India. To identify the CSFs, different standard methods including questionnaire-oriented survey, brainstorming have been adopted. Interpretive structural modelling (ISM) methodology has been used to find out inter-relationships among the CSFs along with identification of driving forces.

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