scholarly journals Analysis of Wireless Sensor Network Topology and Estimation of Optimal Network Deployment by Deterministic Radio Channel Characterization

2014 ◽  
Author(s):  
Francisco Falcone ◽  
Erik Aguirre ◽  
Peio Lopez Iturri ◽  
Leire Azpilicueta ◽  
José Javier Astrain ◽  
...  
Sensors ◽  
2015 ◽  
Vol 15 (2) ◽  
pp. 3766-3788 ◽  
Author(s):  
Erik Aguirre ◽  
Peio Lopez-Iturri ◽  
Leire Azpilicueta ◽  
José Astrain ◽  
Jesús Villadangos ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Beibei Fu

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.


2018 ◽  
Vol 14 (11) ◽  
pp. 4
Author(s):  
Qiong Ren

<p class="0abstract"><span lang="EN-US">To explore the wireless sensor network (WSN) structure, the cooperative WSN architecture of mass data processing based on cloud computing is studied. The technology of WSN and cloud computing is deeply discussed. The system and node structure of WSN are studied by theoretical analysis method, and the performance of the WSN is studied by using the numerical simulation method. The mass data processing technology based on Map Reduce and its application in WSN are discussed. The numerical simulation method is used to experiment on the architecture of SVC4WSN and MD4LWSN. The relationship between the optimal network number and the node communication radius at different node density is verified. Moreover, the energy and time delay </span><span lang="EN-US">Reduce </span><span lang="EN-US">path is compared with three protocols of LEACH, PEGASIS and PEDAP. The results show that the two Reduce paths have better performance in both network survival time and the total time slot of data acquisition.</span></p>


Sign in / Sign up

Export Citation Format

Share Document