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A Comparison of Two Semantic Sensor Data Storages for Total Data Transmission  

Manaf Sharifzadeh1, Saeid Aragy2, Kaveh Bashash3, Shahram Bashokian4, Mehdi Gheisari5

 

1College of engineering, Department of Computer, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran

2College of engineering department of computer, Science and research branch, Islamic Azad University, Khomein, Iran

3College of engineering Department of Computer, Damavand Branch, Islamic Azad University, Damavand, Iran

4School of Computer Engineering, Iran University of Science and Technology (IUST), Bashokian@comp.iust.ac.ir

*5 College of engineering Department of Computer, Damavand Branch, Islamic Azad University, Damavand, Iran, mehdi.gheisari61@gmail.com

 
Abstract .The creation of small and cheap sensors promoted the emergence of large scale sensor networks. Sensor networks allow monitoring a variety of physical phenomena, like weather conditions (temperature, humidity, atmospheric pressure ...), traffic levels on highways or rooms occupancy in public buildings. Some of the sensors produce large volume of data such as weather temperature. These data should be stored somewhere for user queries. In this paper two known sensor data storage methods that store data semantically has been compared and it has been shown that storing data in ontology form consumes more energy so the lifetime of sensor network would decreases. The reason we choose them is that they are useful and popular.
 
Keywords : wireless, semsos, SWE
 URL: http://dx.doi.org/10.7321/jscse.v3.n3.138  
 
 

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