scholarly journals Simulation Model of Sports Entrepreneurship Performance Based on Wireless Sensor Network

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Chao Ma ◽  
Weiqi Chen ◽  
Yuge Tian
Keyword(s):  
Wireless Sensor Network ◽  
Simulation Model ◽  
Sensor Network ◽  
Early Warning ◽  
Management System ◽  
Wireless Sensor ◽  
Entrepreneurial Performance ◽  
Early Warning Management ◽  
Net Assets ◽  
People Today

Entrepreneurship has become the choice of many young people today, and many sports entrepreneurs have joined it. However, the entrepreneurial performance of sports entrepreneurs cannot be effectively guaranteed. Therefore, the design of the simulation model of the early warning management system of entrepreneurial performance is extremely urgent. It is based on the wireless sensor network that provides an important guarantee for the model design. Therefore, it is necessary to study the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor network. The purpose of this paper is to start with the research on the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor networks, select entrepreneurs from a sports university in our city as the analysis object, establish a wireless sensor sports entrepreneurship performance early warning management system simulation model, and then conduct multidimensional comparison. The research results show that the entrepreneurial performance of entrepreneurial projects continues to rise quarter by quarter. By the fourth quarter, product growth rates, labor productivity, and return on net assets had all increased by about 20%, while the turnover rate remained within the range of 20%-25%. It can be seen that the research on the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor network can effectively improve the competitiveness of entrepreneurial projects.

scholarly journals Sports Monitoring Method of National Sports Events Based on Wireless Sensor Network

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhongxiao Wang ◽  
Dong Zhu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Human Body ◽  
Life Experience ◽  
Real Life ◽  
Wireless Sensor ◽  
Residential Areas ◽  
Monitoring Method ◽  
Sports Events ◽  
Traditional Sports

Ethnic sports are various ethnic sports that have gradually evolved into various popular sports in the long-term life experience, according to different living habits and residential areas, in the hunting activities of similar sports in the past. Based on the use of wireless sensor networks, this paper monitors the traditional national sports activities, provides real-time feedback on the actual human body conditions in different sports, and finds out the pros and cons of traditional sports and makes improvements. The object proposes a national automated monitoring test, which uses several small sensors in the wireless sensor network to transmit information to monitor many real conditions in the human body during multisport, so as to find out that the national sports exercise is in real life. Experimental results show that in recent years, all ethnic groups have attached great importance to ethnic sports. The 11th Ethnic Minority Games held in 2019 will have 18 competitions, 17 individual events, 131 small events, and 55 ethnic minorities that participated in the joint participation of more than 7000 athletes participating in traditional sports of all nationalities and are the best inheritance and development of national sports.

Testbed Implementation of a Pollution Monitoring System Using Wireless Sensor Network for the Protection of Public Spaces

2009 ◽  
Vol 5 (4) ◽  
pp. 16-32 ◽  
Author(s):  
Siuli Roy ◽  
Anurag D ◽  
Somprakash Bandyopadhyay
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Power Plants ◽  
Large Scale ◽  
Real Life ◽  
Public Spaces ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Simulation Tools ◽  
Consumption Rates

Air pollution is an important environmental issue that has a direct effect on human health and ecological balance. Factories, power plants, vehicles, windblown dust and wildfires are some of the contributors of to pollution. Reasonable simulation tools exist for evaluating large scale sensor networks, ; however, they fail to capture significant details of node operation or practical aspects of wireless communication. Real life testbeds, capture the realism and bring out important aspects for further research. In this paper, we present an implementation of a wireless sensor network testbed for automatic and real-time monitoring of environmental pollution for the protection of public spaces. The paper describes the physical setup, the sensor node hardware and software architecture for “anytime, anywhere” monitoring and management of pollution data through a single, Web-based graphical user interface. The paper presents practical issues in the integration of sensors, actual power consumption rates and develops a practical hierarchical routing methodology.

Study on WSN Localization Algorithm and Simulation Model Based on Kalman Filtering Algorithm

2014 ◽  
Vol 945-949 ◽  
pp. 2380-2385
Author(s):  
Lian Zhou Gao
Keyword(s):  
Wireless Sensor Network ◽  
Simulation Model ◽  
Sensor Network ◽  
Kalman Filtering ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Filtering Algorithm ◽  
Kalman Filtering Algorithm

This paper studies on the algorithm to improve the location of Wireless Sensor Network (WSN) in Intelligent Transportation System (ITS). Considering multi-path effect in the localization, an improved RSSI algorithm is introduced in the localization algorithm. The localization results are analyzed under different density of beacon nodes, and Kalman filtering algorithm is introduced to reduce the influence of signal noise. Finally, to test the algorithm based on Kalman filtering algorithm, a simulation model of ITS is developed, which is used to simulate the localization of real vehicles. The simulation shows the algorithm has effect to improve location accuracy and to application.

scholarly journals Energy Efficient Clustering Protocol to Enhance Performance of Heterogeneous Wireless Sensor Network: EECPEP-HWSN

2017 ◽  
Author(s):  
Santosh Purkar ◽  
Rajkumar S. Deshpande
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Real Life ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Performance Parameters ◽  
Clustering Protocol ◽  
Heterogeneous Wireless Sensor Network ◽  
Energy Efficient Clustering

As Heterogeneous Wireless Sensor Network (HWSN) fulfill the requirements of researchers in the design of real life application to resolve the issues of unattended problem. But, the main constraint face by researchers is energy source available with sensor nodes. To prolong the life of sensor nodes and hence HWSN, it is necessary to design energy efficient operational schemes. One of the most suitable routing scheme is clustering approach, which improves stability and hence enhances performance parameters of HWSN. A novel solution proposed in this article is to design energy efficient clustering protocol for HWSN, to enhance performance parameters by EECPEP-HWSN. Propose protocol is designed with three level nodes namely normal, advance and super node respectively. In clustering process, for selection of cluster head we consider three parameters available with sensor node at run time, i.e., initial energy, hop count and residual energy. This protocol enhance the energy efficiency of HWSN, it improves performance parameters in the form of enhance energy remain in the network, force to enhance stability period, prolong lifetime and hence higher throughput. It is been found that proposed protocol outperforms than LEACH, DEEC and SEP with about 188, 150 and 141 percent respectively.

Privacy Preserving Data Gathering in Wireless Sensor Network

2011 ◽  
pp. 237-251
Author(s):  
Md. Golam Kaosar ◽  
Xun Yi
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Perturbation Technique ◽  
Data Gathering ◽  
Real Life ◽  
Privacy Preserving ◽  
Wireless Sensor ◽  
Individual Data ◽  
Data Collection Process ◽  
Proposed Model

Sensor devices provide sophisticated services in collecting data in various applications, some of which are privacy sensitive; others are ordinary. This chapter emphasizes the necessity and some mechanisms of privacy preserving data gathering techniques in wireless sensor network communication. It also introduces a new solution for privacy preserving data gathering in wireless sensor networks. By using perturbation technique in a semi-trusted server model, this new solution is capable of reducing a significant amount of computation in data collection process. In this technique, data of a sensor is perturbed into two components which are unified into two semi-trusted servers. Servers are assumed not to collude each other. Neither of them have possession of any individual data. Therefore, they cannot discover individual data. There are many real life applications in which the proposed model can be applied. Moreover, this chapter also shows a technique to collect grouped data from distributed sources keeping the privacy preserved. Security proofs show that any of the servers or any individual sensor neither can discover any individual data nor can associate any data to an individual sensor. Thus, the privacy of individual data is preserved.

Testbed Implementation of a Pollution Monitoring System Using Wireless Sensor Network for the Protection of Public Spaces

2011 ◽  
pp. 263-276 ◽  
Author(s):  
Siuli Roy ◽  
Anurag D ◽  
Somprakash Bandyopadhyay
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Power Plants ◽  
Large Scale ◽  
Real Life ◽  
Public Spaces ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Web Based ◽  
Consumption Rates

Air pollution is an important environmental issue that has a direct effect on human health and ecological balance. Factories, power plants, vehicles, windblown dust and wildfires are some of the contributors to pollution. Reasonable simulation tools exist for evaluating large scale sensor networks; however, they fail to capture significant details of node operation or practical aspects of wireless communication. Real life testbeds capture the realism and bring out important aspects for further research. In this article, we present an implementation of a wireless sensor network testbed for automatic and real-time monitoring of environmental pollution for the protection of public spaces. The article describes the physical setup, the sensor node hardware and software architecture for “anytime, anywhere” monitoring and management of pollution data through a single, Web-based graphical user interface. The article presents practical issues in the integration of sensors, actual power consumption rates and develops a practical hierarchical routing methodology.

Privacy Preserving Data Gathering in Wireless Sensor Network

2012 ◽  
pp. 239-253 ◽  
Author(s):  
Md. Golam Kaosar ◽  
Xun Yi
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Perturbation Technique ◽  
Data Gathering ◽  
Real Life ◽  
Privacy Preserving ◽  
Wireless Sensor ◽  
Individual Data ◽  
Data Collection Process ◽  
Proposed Model

Sensor devices provide sophisticated services in collecting data in various applications, some of which are privacy sensitive; others are ordinary. This chapter emphasizes the necessity and some mechanisms of privacy preserving data gathering techniques in wireless sensor network communication. It also introduces a new solution for privacy preserving data gathering in wireless sensor networks. By using perturbation technique in a semi-trusted server model, this new solution is capable of reducing a significant amount of computation in data collection process. In this technique, data of a sensor is perturbed into two components which are unified into two semi-trusted servers. Servers are assumed not to collude each other. Neither of them have possession of any individual data. Therefore, they cannot discover individual data. There are many real life applications in which the proposed model can be applied. Moreover, this chapter also shows a technique to collect grouped data from distributed sources keeping the privacy preserved. Security proofs show that any of the servers or any individual sensor neither can discover any individual data nor can associate any data to an individual sensor. Thus, the privacy of individual data is preserved.

scholarly journals Energy Efficient Heterogeneous WNS Clustering Using Machine Learning

2021 ◽  
pp. 24-29
Author(s):  
Kamini Maheshwar ◽  
Dr. S. Veenadhari ◽  
Mr Almelu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Real Life ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Network Clustering ◽  
Heterogeneous Wireless Sensor Network ◽  
Paper Review ◽  
Energy Efficient Clustering

Heterogeneous wireless sensor network (HWSN) fulfills the requirements of researchers in the design of real-life application to resolve the issues of unattended problem. Wireless sensor networks are used in diverse areas such as battlefields, security, hospitals, universities, etc. It has been used in our everyday lives. Its development is rising day by day. Wireless sensor network includes hundreds to thousands of sensor nodes which aid in gathering various information like temperature, sound, location, etc. Recharging or modifying sensor nodes which might have limited battery power is usually difficult. Therefore, energy conservation is a crucial concern in sustaining the network. Clustering the networks is definitely one of the most common solutions for rendering WSNs energy. In this paper,   review and compare different energy-efficient clustering protocols for WSNs

scholarly journals A Multiprotocol Wireless Sensor Network for High Performance Sport Applications

2018 ◽  
Vol 1 (4) ◽  
pp. 52 ◽  
Author(s):  
Vincenzo Bonaiuto ◽  
Paolo Boatto ◽  
Nunzio Lanotte ◽  
Cristian Romagnoli ◽  
Giuseppe Annino
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
High Performance ◽  
Wearable Sensors ◽  
Real Life ◽  
Wireless Sensor ◽  
Sport Equipment ◽  
Wide Range ◽  
Physiological Sensors

The use of a network of wearable sensors placed on the athlete or installed into sport equipment is able to offer, in a real sport environment rather than in the unspecific spaces of a laboratory, a valuable real-time feedback to the coach during practice. This is made possible today by the coordinate use of a wide range of kinematic, dynamic, and physiological sensors. Using sensors makes training more effective, improves performance assessment, and can help in preventing injuries. In this paper, a new wireless sensor network (WSN) system for elite sport applications is presented. The network is made up of a master node and up to eight peripheral nodes (slave nodes), each one containing one or more sensors. The number of nodes can be increased with second level slave nodes; the nature of sensors varies depending on the application. Communication between nodes is made via a high performance 2.4 GHz transceiver; the network has a real-life range in excess of 100 m. The system can therefore be used in applications where the distance between nodes is long, for instance, in such sports as kayaking, sailing, and rowing. Communication with user and data download are made via a Wi-Fi link. The user communication interface is a webpage and is therefore completely platform (computer, tablet, smartphone) and operating system (Windows, iOS, Android, etc.) independent. A subset of acquired data can be visualized in real time on multiple terminals, for instance, by athlete and coach. Data from kayaking, karting, and swimming applications are presented.

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