Smart Sensors in Wireless Network System

Author(s):  
R. Vrba ◽  
O. Sajdl ◽  
M. Sveda
2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Xun Ge

A wireless network system is a pair(U;B), whereBis a family of some base stations andUis a set of their users. To investigate the connectivity of wireless network systems, this paper takes covering approximation spaces as mathematical models of wireless network systems. With the help of covering approximation operators, this paper characterizes the connectivity of covering approximation spaces by their definable subsets. Furthermore, it is obtained that a wireless network system is connected if and only if the relevant covering approximation space has no nonempty definable proper subset. As an application of this result, the connectivity of a teacher-student interactive platform is discussed, which is established in the School of Mathematical Sciences of Soochow University. This application further demonstrates the usefulness of rough set theory in pedagogy and makes it possible to research education by logical methods and mathematical methods.


Author(s):  
Nuril Akhyar ◽  
Kerista Sebayang ◽  
Kurnia Sembiring

Testing and analyzing the water quality had been conducted by combining several characteristics of sensors (temperature, turbidity and heavy metals) integrated in the wireless network system to determine the quality comparator parameters of water worth drinking in coastal areas. Using sensors made of chitosan compounds to detect heavy metals contained in water. Testing was also done using the DS18B20 sensor (temperature) and TDS (salt levels) by operating a wireless network to transmit data in real time to the web through the GPRS network with the automation system. The sampling used purposive sampling by seafront distance, ± 1 km distance and ± 3 km distance. Testing of copper chips with the addition of Chitosan showed a more stable reading result than without using copper plates (read: pure PCB). At Chitosan biosensors, the addition of CMC shows more varied readings compared to using chitosan biosensors alone. The Ds18b20 Sensor was able to work at high temperatures, with stable value readings. From Sensor readings TDS (EC meter), it’s obtained that the higher the water solution, the greater the reading from the TDS sensor. It was shown on a chart that describing the closer to the sea area, the higher the level of the dissolved substances. The tool was accessed in real time through the Thing Speak platform in accordance with the specified account.


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