scholarly journals A Topology Construct and Control Model with Small-World and Scale-Free Concepts for Heterogeneous Sensor Networks

2014 ◽  
Vol 10 (3) ◽  
pp. 374251 ◽  
Author(s):  
Lifang Liu ◽  
Xiaogang Qi ◽  
Jilong Xue ◽  
Mande Xie
Keyword(s):  
Sensor Networks ◽  
Small World ◽  
Control Model ◽  
Scale Free ◽  
Heterogeneous Sensor Networks ◽  
And Control

A tree-based approach to design Heterogeneous Sensor Networks based on small world concepts

2011 ◽  
Author(s):  
Daniel L. Guidoni ◽  
Azzedine Boukerche ◽  
Leandro A. Villas ◽  
Raquel A. F. Mini ◽  
Antonio A. F. Loureiro
Keyword(s):  
Sensor Networks ◽  
Small World ◽  
Heterogeneous Sensor Networks

scholarly journals Evolution of Scale-Free Wireless Sensor Networks with Feature of Small-World Networks

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Ying Duan ◽  
Xiuwen Fu ◽  
Wenfeng Li ◽  
Yu Zhang ◽  
Giancarlo Fortino
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Small World ◽  
Wireless Sensor ◽  
Small World Network ◽  
Scale Free Network ◽  
Theoretical Derivation ◽  
Scale Free ◽  
Cluster Heads ◽  
Free Network

Scale-free network and small-world network are the most impacting discoveries in the complex networks theories and have already been successfully proved to be highly effective in improving topology structures of wireless sensor networks. However, currently both theories are not jointly applied to have further improvements in the generation of WSN topologies. Therefore, this paper proposes a cluster-structured evolution model of WSNs considering the characteristics of both networks. With introduction of energy sensitivity and maximum limitation of degrees that a cluster head could have, the performance of our model can be ensured. In order to give an overall assessment of lifting effects of shortcuts, four placement schemes of shortcuts are analyzed. The characteristics of small-world network and scale-free network of our model are proved via theoretical derivation and simulations. Besides, we find that, by introducing shortcuts into scale-free wireless sensor network, the performance of the network can be improved concerning energy-saving and invulnerability, and we discover that the schemes constructing shortcuts between cluster heads and the sink node have better promoted effects than the scheme building shortcuts between pairs of cluster heads, and the schemes based on the preferential principle are superior to the schemes based on the random principle.

Uncertainty Spread and Control of Complex Supply Chain Networks in Manufacturing Industry

2013 ◽  
Vol 712-715 ◽  
pp. 3161-3164 ◽  
Author(s):  
Xiao Hong Qin ◽  
Bing Neng Luo ◽  
Jun Quan Gong
Keyword(s):  
Supply Chain ◽  
Complex Network ◽  
Manufacturing Industry ◽  
Small World ◽  
Lead Times ◽  
Supply Chain Network ◽  
Scale Free ◽  
Supply Chain Networks ◽  
Exchange Of Information ◽  
And Control

The Authors has Commented the Complexity of Supply Chain Networks in Manufacturing Industry Based on Complex Network Theory.Complex Supply Chain Networks in Manufacturing Industry has Characteristics of Small-World and Scale-Free. the Authors has Discussed Various Uncertainties of Complex Supply Chain Networks in Manufacturing Industry. and has Analyzed Spread and Control of Uncertainty of Complex Supply Chain Network in Manufacturing Industry. the Research Showed that Shorten Delivery Lead Times and Strengthen the Exchange of Information can Effectively to Improve Enterprises Cope with Uncertainty Ability, which has Important Role to Control Uncertainty Occurrence in Manufacturing Manufacturing Complex Supply Chain Networks in Manufacturing Industry.

Impact of Informal Network on Opinion Dynamics in Command and Control Network

2015 ◽  
Vol 764-765 ◽  
pp. 919-923
Author(s):  
Xiao Song ◽  
Wen Shi
Keyword(s):  
Command And Control ◽  
Small World ◽  
Opinion Dynamics ◽  
Hybrid Network ◽  
Informal Networks ◽  
Scale Free ◽  
Informal Network ◽  
Dynamics Models ◽  
And Control ◽  
The Impact

This paper aims to study the opinion dynamics in military command and control (C2) network with the impact of informal network. The authors reviewed recent opinion dynamics models and explored the relationships between formal and informal networks in detail. Then the opinion dynamics model in C2 network was introduced and a hybrid network based on small-world or scale-free network was proposed. Afterwards, the authors studied the opinion dynamics based on the formal C2 network and hybrid network by computer simulations, and found that opinion dynamics with the impact of informal network is almost independent on the network properties (including small-world, scale-free and rewiring probability) but dependent on the scale of the informal network. And it is concluded that the larger the size of informal network is, the better it can facilitate convergence of opinions in formal C2 network.

scholarly journals Protection and Response of a Tertiary Hospital in Shenzhen, China to the COVID-19 Outbreak—the Practice of the Comprehensive Response Mode

2021 ◽  
pp. 1-17
Author(s):  
Benling Hu ◽  
Le Yang ◽  
Chan Wei ◽  
Min Luo
Keyword(s):  
Prevention And Control ◽  
Tertiary Hospital ◽  
Control Model ◽  
Normal Operation ◽  
Process Reengineering ◽  
Equipment Management ◽  
Hospital Acquired Infection ◽  
Public Health Emergencies ◽  
Hospital Acquired ◽  
And Control

ABSTRACT Objective: To evaluate the management mode for the prevention and control of coronavirus 2019 (COVID-19) transmission utilized at a general hospital in Shenzhen, China, with the aim to maintain the normal operation of the hospital. Methods: From January 2, 2020 to April 23, 2020, Hong Kong–Shenzhen Hospital, a tertiary hospital in Shenzhen, has operated a special response protocol named comprehensive pandemic prevention and control model, which mainly includes six aspects: 1) human resource management; 2) equipment management; 3) logistics management; 4) cleaning, disinfection and process reengineering; 5) environment layout; 6) and training and assessment. The detail of every aspect was described and its efficiency was evaluated. Results: A total of 198,802 patients were received. Of those, 10,821 were hospitalized; 26,767 were received by the emergency department and fever clinics; 288 patients were admitted for observation with fever; and 324 were admitted as suspected cases for isolation. Under the protocol of comprehensive pandemic prevention and control model, no case of hospital-acquired infection with COVID-19 occurred among the inpatients or staff. Conclusion: The present comprehensive response model may be useful in large public health emergencies to ensure appropriate management and protect the health and life of individuals.

scholarly journals A Conceptual Model of Measurement Uncertainty in IoT Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1827
Author(s):  
Piotr Cofta ◽  
Kostas Karatzas ◽  
Cezary Orłowski
Keyword(s):  
Sensor Networks ◽  
Internet Of Things ◽  
Reference Model ◽  
Primary Objective ◽  
Theory And Practice ◽  
Fitness For Purpose ◽  
Industrial Practice ◽  
Control Networks ◽  
And Control ◽  
Measurement And Control

The growing popularity of inexpensive IoT (Internet of Things) sensor networks makes their uncertainty an important aspect of their adoption. The uncertainty determines their fitness for purpose, their perceived quality and the usefulness of information they provide. Nevertheless, neither the theory nor the industrial practice of uncertainty offer a coherent answer on how to address uncertainty of networks of this type and their components. The primary objective of this paper is to facilitate the discussion of what progress should be made regarding the theory and the practice of uncertainty of IoT sensor networks to satisfy current needs. This paper provides a structured overview of uncertainty, specifically focusing on IoT sensor networks. It positions IoT sensor networks as contrasted with professional measurement and control networks and presents their conceptual sociotechnical reference model. The reference model advises on the taxonomy of uncertainty proposed in this paper that demonstrates semantic differences between various views on uncertainty. This model also allows for identifying key challenges that should be addressed to improve the theory and practice of uncertainty in IoT sensor networks.

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