scholarly journals Design of Data Acquisition System Based on Zigbee for Wireless Sensor Networks

2018 ◽  
Vol 246 ◽  
pp. 03036
Author(s):  
Shi Lei
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Communication ◽  
Data Acquisition ◽  
Sensor Network ◽  
Communication Technologies ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Wireless Sensor ◽  
Network Data

With the continuous development of modern network technology, sensor technology and wireless communication technologies, the emergence and development of wireless sensor networks has been promoted. Among many wireless communication technologies, wireless communication technology featuring low power consumption, close proximity and low cost for ZigBee has attracted the research interest of researchers. Based on the current status of communication systems, based on the review and system analysis of wireless sensor networks, this paper proposes a ZigBee-based wireless sensor network data acquisition system, which avoids the reliability and installation of traditional wired sensor network data acquisition systems and shortcomings such as high maintenance costs and large wiring.

A Adaptive Wireless Sensor Networks for Marine Monitoring

2012 ◽  
Vol 542-543 ◽  
pp. 169-178
Author(s):  
Dong Hong Yang ◽  
Ji Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Data Collection ◽  
Data Acquisition ◽  
Sensor Network ◽  
Data Sharing ◽  
Monitoring System ◽  
Wireless Sensor ◽  
Energy Efficient Routing

The real-time online offshore monitoring system based on wireless sensor network has been designed.It successfully applied wireless sensor network technology to the field of ocean environmental monitoring system.The system is an automatic monitoring system without manual involvement,which runs automatically by the program from the data collection nodes import to the sink node through the communication nodes. The handheld sink has a slick looking interface.It is an offshore wireless sensor networks which can be set up flexibly and can monitor the changes of temperature,light intensity ,PH, dissolved oxygen and other parameters.The system is composed of three main components including data acquisition subsystem,data transmission control subsystem and data sharing subsystem.The subsystems are responsible for monitoring data collection,information transmission processing,data sharing ,and information service.This paper described the architecture of the entire system and the implementation of each module in details,especially the implementation of data acquisition subsystem including hardware packaging,software designing and environmental configuration.Through analyzing of telos node hardware and the energy status of routing protocols,it proposes energy-saving solutions based on energy-efficient routing and radio dormancy strategy. The system has been running for more than one year.It has been proved that the system is energy-saving.It has made an important impact on ocean ography.

scholarly journals Data detection technology of wireless sensor network based on non-stationary filtering

2021 ◽  
Vol 2113 (1) ◽  
pp. 012023
Author(s):  
Xinghua Lu ◽  
Jiahao Huang ◽  
Guohua Luo
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Frequency Domain ◽  
Sensor Network ◽  
Detection Algorithm ◽  
Wireless Sensor ◽  
Network Data ◽  
Data Detection ◽  
Time Frequency

Abstract By optimizing the data detection performance of distributed wireless sensor networks, the data sensing and collecting ability of wireless sensor networks can be improved. Traditional methods adopt statistical characteristic parameter detection algorithm for distributed wireless sensor network data detection. Distributed wireless sensor network data has strong time-frequency coupling, so it is difficult to realize frequency domain spatial parameter clustering in frequency domain, and the detection performance is not good. A distributed wireless sensor network data detection algorithm based on non-stationary filtering and high-order statistical feature peak retrieval is proposed. The data model of distributed wireless sensor network is constructed under the interference of color noise. The weak vibration signal is subjected to time-frequency analysis and noise separation by non-stationary filtering, and the spectral peak of distributed wireless sensor network data is searched by the fourth-order cumulant slice post-operator to realize the optimal detection of signals. The simulation results show that the algorithm has a high probability of accurate detection, and has a good ability of suppressing noise and noise sidelobe information interference, which improves the probability of accurate detection of distributed wireless sensor network data under low signal-to-noise ratio.

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