Design for Irrigation Control System Based on ZigBee Wireless Network

2013 ◽  
Vol 846-847 ◽  
pp. 301-304
Author(s):  
Xin Wang ◽  
He Pan ◽  
Jian Yang ◽  
Zhi Gang Liu
Keyword(s):  
Control System ◽  
Wireless Sensor Network ◽  
Water Resources ◽  
Sensor Network ◽  
Wireless Network ◽  
Wireless Sensor ◽  
Network Node ◽  
System Realization ◽  
Irrigation Control ◽  
Specific Implementation

Aimed at the shortage water resources and demand for water-saving irrigation in our country, this paper puts forward an irrigation control system realization method by using wireless sensor network on the basis of Zigbee wireless network. And then, this paper shows the specific implementation details. Through the preliminary experiments, it has been proved that this system can accurately obtain data from network node. Besides, the system is stable so that it has certain application value.

scholarly journals Design of Motor Control System Based on Wireless Sensor Network

2018 ◽  
Vol 14 (10) ◽  
pp. 140
Author(s):  
Herong Yuan ◽  
Jingbin Song
Keyword(s):  
Control System ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Test Methods ◽  
Wireless Sensor ◽  
Wireless Router ◽  
Wireless Terminal ◽  
Specific Implementation ◽  
And Control ◽  
Measurement And Control

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">More and more modern devices are controlled by miniature special motors. But many existing miniature special motors are using mostly independent test methods through wire communication. In this paper, starting from the requirements of motor testing and the situation of workshop environment, a motor measurement and control system based on wireless sensor network is proposed and designed. This paper elaborates the relevant technical analysis and specific implementation of TT &amp; C module, wireless terminal, wireless router, wireless gateway and host computer measurement and control module. At last, the test function and effect of the system are explained according to the test samples. The reliability and stability of the system are verified through reliability analysis.</span>

A Study of Malware Propagation Dynamics in Wireless Sensor Network using Spatially Correlated Security Model

2020 ◽  
Vol 13 ◽  
Author(s):  
Satya Ranjan Biswal ◽  
Santosh Kumar Swain
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Network ◽  
Spatial Correlation ◽  
Malicious Code ◽  
Wireless Sensor ◽  
Epidemic Theory ◽  
Malware Propagation ◽  
Proposed Model ◽  
Propagation Dynamics

: Security is one of the important concern in both types of the network. The network may be wired or wireless. In case of wireless network security provisioning is more difficult in comparison to wired network. Wireless Sensor Network (WSN) is also a type of wireless network. And due to resource constraints WSN is vulnerable against malware attacks. Initially, the malware (virus, worm, malicious code, etc.) targets a single node of WSN for attack. When a node of WSN gets infected then automatically start to spread in the network. If nodes are strongly correlated the malware spreads quickly in the network. On the other hand, if nodes are weakly correlated the speed of malware spread is slow. A mathematical model is proposed for the study of malware propagation dynamics in WSN with combination of spatial correlation and epidemic theory. This model is based on epidemic theory with spatial correlation. The proposed model is Susceptible-Exposed-Infectious-Recover-Dead (SEIRD) with spatial correlation. We deduced the expression of basic reproduction number. It helps in the study of malware propagation dynamics in WSN. The stability analysis of the network has been investigated through proposed model. This model also helps in reduction of redundant information and saving of sensor nodes’ energy in WSN. The theoretical investigation verified by simulation results. A spatial correlation based epidemic model has been formulated for the study of dynamic behaviour of malware attacks in WSN.

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