scholarly journals Wireless Sensor Network Topology Theory for Data Collection and Analysis of Sports Training Human Body

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Beibei Fu
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Network Topology ◽  
Base Station ◽  
Training System ◽  
Wireless Sensor ◽  
Network Technology ◽  
Sports Training ◽  
Application Requirements

This paper is based on wireless sensor network topology for sports training human data collection, and the collected data are studied and analyzed in depth. According to the application requirements of sports training, a sports training system consisting of an embedded data collection terminal, and a database server is designed using wireless sensor network technology. The hardware is designed with sensor nodes and base stations to collect athletes’ motion parameters in real time. The software is designed with node and base station control software and sports database management system to realize the receiving, storing, and analyzing of sports parameters. And the system experiments were conducted, and the experimental results show that this system meets the application requirements of sports training and provides an effective tool for scientific training decision research. The needs of designing sports training systems under wireless sensor networks are analyzed, and the system is designed and implemented. Our results confirm that the use of wireless sensor network technology in the design of the sports training system improves the system application performance by 16%. And the interactivity of the sports training system in practice has increased by 8%. All of these show that the design of the sports training system under the wireless sensor network meets the actual system application requirements and has a positive impact. The design of base station control, node control, and sports database software is implemented in the software system, which can effectively realize the collection, storage, and analysis of sports parameters. Finally, the designed wireless sensor network-based sports training system is tested, and the test results indicate that the system designed in this paper can meet the needs of sports training use.

scholarly journals Design of Sports Training System and Motion Monitoring and Recognition under Wireless Sensor Network

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yue Jia
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Information Transmission ◽  
Sensor Network ◽  
Training System ◽  
Wireless Sensor ◽  
Sports Training ◽  
Transmission Success ◽  
Network Overhead ◽  
Average Information

In conventional sports training, coaches record and observe athletes' sports data and judge whether it is reasonable based on their own experience. This qualitative analysis method is highly subjective, has large errors, and is susceptible to interference. To solve the above problems, the design of the sports training system under the wireless sensor network and the research of movement monitoring and recognition become very important. This article aims to study the design of sports training system and the monitoring and recognition of actions under the wireless sensor network technology. This paper simulates the implementation of the proposed data collection protocol and the two basic protocols, the direct transfer algorithm and the flooding algorithm, and compares the protocol proposed in this paper with the other two algorithms in terms of average information transmission success rate and average network overhead. Among them, the average information transmission success rate represents the ratio of the number of messages successfully arriving at the base station to the total amount of information generated by all nodes, and the average network overhead represents the average number of messages sent by each node. Experimental results show that the data collection protocol proposed in this paper can dynamically provide different transmission qualities for information of different importance levels, effectively reducing network overhead, and the reduced overhead is 11% of the original.

scholarly journals DBac: deadline based data collection using CSMA/CD and earliest deadline first (EDF) scheduling in wireless sensor network

2018 ◽  
Vol 7 (3) ◽  
pp. 1956
Author(s):  
A Felix Arokya Jose ◽  
C Anand Deva Durai ◽  
S John Livingston
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Sampling Rate ◽  
Data Communication ◽  
Base Station ◽  
Wireless Sensor ◽  
Earliest Deadline First ◽  
Delivery Ratio ◽  
Earliest Deadline

Wireless Sensor Network (WSN) has an enormous scope of utilizations in detecting different parameters such as temperature, pressure, sound, pollution, etc. The sensed data in each sensor node are a valuable one. To communicate the information to the base station for further processing, a lot of strategies are available. Each sensor senses the data in different sampling rate depending upon the sudden raise in the sensing parameters. Data communication to the base station is very critical due to the dynamicity of the environment during the stipulated time.The sensed data should reach the base station before the data becomes invalid due to the violation of the deadline. In order to avoid deadline violation so that the sensed data becomes useless, this paper proposing a novel data collection algorithm based on the popular Earliest Deadline First (EDF) scheduling algorithm. The various simulation parameters are taken into account to verify the performance of the proposed method and the result shows that it achieves high throughput, low delay, high Packet Delivery Ratio (PDR) and low energy consumption.  

The Research and Implementation Based on Electronic Gases Simulation System of Wireless Sensor Network

2012 ◽  
Vol 433-440 ◽  
pp. 2519-2522
Author(s):  
Li Feng Wei ◽  
Zhi Xin Zhang ◽  
Qing Hui Wang ◽  
An Song Feng
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Design Principle ◽  
Rapid Development ◽  
Social Economy ◽  
Training System ◽  
Wireless Sensor ◽  
Network Technology ◽  
Key Technology ◽  
In Fire

Currently, in view of the rapid development of social economy, many problems about fire safety to be solved urgently exist in fire rescue. Therefore, the advanced wireless sensor network technique is applied in modern fire rescue. Firstly, this paper gives a brief introduction about, introducing the significance of wireless sensor network technology applied in simulation fire training system. Secondly, it introduces the basic design principle of electronic gases. Finally, it studies the functions of the system design and realization of the key technology.

scholarly journals Using Wireless Sensor Network to Correct Posture in Sports Training Based on Hidden Markov Matching Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Cui Cui
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Recognition Algorithm ◽  
Training System ◽  
Wireless Sensor ◽  
Sports Training ◽  
Motion Recognition ◽  
Matching Algorithm

This paper combines the research of wireless sensor networks and sports training and proposes a wireless sensor network-based intelligent sports training system. According to the requirements of the system, this design uses the wireless sensor network system as the platform for development and the ZigBee module for wireless communication. The advantage of this system is to transmit the obtained information to the ZigBee coordinator module, and after the processing of information and the resultant decision, a nonwearable unmonitored motion training model based on visual sensing is proposed. The motion terminal collects video data streams of user motion actions and extracts features to establish HMM motion recognition algorithm to achieve recognition of motion actions, automatic counting, and intelligent scoring functions. The template matching algorithm based on dynamic time regularization and weighted Euclidean distance realizes a universal real-time motion recognition algorithm with high standard and low latency and can guide the user’s motion action based on similarity calculation. The intelligent sports training system is designed and developed to maintain a high-quality human-computer interaction experience with a real-time feedback client and uploads sports data to a cloud server via the HTTP protocol, which supports real-time sports proximity query and training plan development on the website. After practical application tests, the intelligent sports training system based on the wireless sensor network proposed in this paper is stable and reliable and adds fun and competitiveness to boring sports. The research of this paper has some reference value for the application of wireless sensor networks and the research of the motion recognition algorithm.

Perancangan Smart Home Berbasis Jaringan Sensor Nirkabel

2017 ◽  
Vol 3 (2) ◽  
pp. 76
Author(s):  
Octarina Nur Samijayani ◽  
Ibnu Fauzi
Keyword(s):  
Wireless Sensor Network ◽  
Response Time ◽  
Sensor Network ◽  
Smart Home ◽  
Performance Testing ◽  
Maximum Distance ◽  
Wireless Sensor ◽  
The Internet ◽  
Network Technology ◽  
Internet Network

<p><em>Abstrak</em> - <strong>Keamanan rumah menjadi hal yang sangat penting ketika pemilik rumah meninggalkan rumah dalam keadaan kosong. Selain pencurian, kebakaran juga merupakan masalah yang sering kali terjadi ketika rumah ditinggal pemiliknya. Sebagai alternatif solusi untuk menjaga dan mengawasi rumah yang diajukan pada penelitian ini ialah menggunakan teknologi Jaringan Sensor Nirkabel yang terintegrasi dengan jaringan internet, sehingga pemilik rumah tetap dapat mengawasi keadaan rumah dari jarak jauh. Pada penelitian ini dirancang prototype sistem rumah pintar atau Smart Home yang memanfaatkan teknologi Jaringan Sensor Nirkabel menggunakan standard Zigbee. Beberapa node sensor ditempatkan pada peralatan rumah, dimana setiap node dapat saling berkomunikasi secara wireless dan terpusat di node kordinator. Selanjutnya node kordinatior akan terhubung ke jaringan internet sehingga pemilik rumah dapat membuka aplikasi smart home kapan saja dan dimana saja. Rancangan sistem <em>Smart Home</em> disimulasikan menggunakan rumah model untuk menguji kinerja perangkat <em>Smart Home</em>. Pengujian kinerja Smart Home dimulai dengan pengujian keakurasian masing masing data sensor hingga waktu respon komunikasi dari sensor ke pusat monitoring. Tingkat error pembacaan suhu disetiap ruangan ialah 1 - 4.27%. Sensor PIR berhasil mendeteksi keberadaan orang di suatu ruangan dengan waktu delay </strong><strong>adalah 2.8 detik dengan jarak maksimal 5 meter</strong><strong>. Fungsi kendali dan monitoring (<em>on/off</em>) perangkat elektronik bekerja dengan baik, dengan waktu respon kurang dari 1 detik. Dari hasil pengujian komunikasi nirkabel antar node, diperoleh bahwa jarak maksimal antar node ialah sekitar 20 m, dengan rata-rata waktu respon pengiriman data ialah 1-2 detik. Adapun waktu respon mengalami delay mencapai 2 detik apabila beberapa perintah kendali dilakukan pada waktu yang bersamaan.</strong></p><p> </p><p><strong><em>Kata Kunci - </em></strong><em>Smart Home</em>, Jaringan Sensor Nirkabel, Zigbee.</p><p> </p><p><em>Abstrak</em><strong> - Home security becomes very important when homeowners leave the house empty. In addition to theft, fire is also a problem that often occurs when the house left the owner. As an alternative solution to maintain and supervise the homes submitted in this study is to use Wireless Sensor Network technology integrated with the Internet network, so that homeowners can still monitor the state of the house remotely. In this study designed prototype smart home system or Smart Home which utilizes Wireless Sensor Network technology using Zigbee standard. Some sensor nodes are placed in the home equipment, where each node can communicate wirelessly and centrally at the coordinator node. Next node coordinate will be connected to the internet network so that homeowners can open smart home application anytime and anywhere. The Smart Home system design is simulated using a home model to test the performance of Smart Home devices. Smart Home performance testing begins with testing the accuracy of each sensor data until the communication response time from the sensor to the monitoring center. The error rate of temperature readings in each room is 1 - 4.27%. PIR sensor successfully detects the presence of people in a room with a delay time is 2.8 seconds with a maximum distance of 5 meters. The control and monitoring functions (on / off) of electronic devices work well, with a response time of less than 1 second. From the results of testing wireless communication between nodes, obtained that the maximum distance between nodes is about 20 m, with the average response time of data transmission is 1-2 seconds. The response time has a delay of 2 seconds if some control commands are done at the same time.</strong><strong></strong></p><p><strong> </strong></p><p><strong><em>Keywords - </em></strong> <em>Smart Home</em>, Jaringan Sensor Nirkabel, Zigbee.</p>

scholarly journals E-FUCA: enhancement in fuzzy unequal clustering and routing for sustainable wireless sensor network

2021 ◽  
Author(s):  
Pawan Singh Mehra
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cluster Head ◽  
Average Energy ◽  
Base Station ◽  
Wireless Sensor ◽  
Unequal Clustering ◽  
Energy Hole ◽  
Intelligent Decision ◽  
Improved Performance

AbstractWith huge cheap micro-sensing devices deployed, wireless sensor network (WSN) gathers information from the region and delivers it to the base station (BS) for further decision. The hotspot problem occurs when cluster head (CH) nearer to BS may die prematurely due to uneven energy depletion resulting in partitioning the network. To overcome the issue of hotspot or energy hole, unequal clustering is used where variable size clusters are formed. Motivated from the aforesaid discussion, we propose an enhanced fuzzy unequal clustering and routing protocol (E-FUCA) where vital parameters are considered during CH candidate selection, and intelligent decision using fuzzy logic (FL) is taken by non-CH nodes during the selection of their CH for the formation of clusters. To further extend the lifetime, we have used FL for the next-hop choice for efficient routing. We have conducted the simulation experiments for four scenarios and compared the propound protocol’s performance with recent similar protocols. The experimental results validate the improved performance of E-FUCA with its comparative in respect of better lifetime, protracted stability period, and enhanced average energy.

scholarly journals Estimation of Optimum Rendezvous Point for Mobile Sink (ORP-MS) in WSN

2018 ◽  
Vol 7 (3.12) ◽  
pp. 1322 ◽  
Author(s):  
Vrince Vimal ◽  
Madhav J Nigam
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
High Throughput ◽  
Mobile Sink ◽  
Base Station ◽  
Wireless Sensor ◽  
Cluster Heads ◽  
Rendezvous Point ◽  
Coverage Holes

Clustering of the sensors in wireless sensor network is done to achieve energy efficiency. The nodes, which are unable to join any cluster, are referred to as isolated nodes and tend to transfer information straight to the base station. It is palpable that isolated nodes and cluster heads communicate with the base station and tend to exhaust their energy leaving behind coverage holes. In this paper, we propose the innovative clustering scheme using mobile sink approach to extend networks lifetime. The proposed (ORP-MS) algorithm is implemented in MATLAB 2017a and the results revealed that the proposed algorithm outdid the existing algorithms in terms networks lifetime and energy efficiency simultaneously achieved high throughput.  

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