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.

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.

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