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  Published Paper Details:

  Paper Title

APPLICATIONS OF DATA MINING BASED DBMS ARCHITECTURE FOR WIRELESS SENSOR NETWORK U HEALTHCARE SYSTEM

  Authors

  Namratha Kollu,  Kandula Chaithanya Deepthi

  Keywords

DBMS architecture, Wireless sensor network,U-healthcare system

  Abstract


Recent developments in low-power microelectronics and downsizing have led to the development and spread of wireless sensor networks. These networks can keep an eye on and adjust the ecosystem all by themselves. This chapter describes how WSNs and sensors fit into the larger picture of network design, and it contrasts WSNs with cellular networks and MANETs. To date, health problem diagnosis has only taken place at the server, not the actuator, for in-hospital or at-home patient monitoring. An effective routing mechanism and channel allocation at the MAC layer is required for data transmission from the sensor to the server. The U-healthcare application's algorithm paradigm and data collection model inform the routing protocol under consideration. This chapter describes the basic building blocks of a sensor network that can be used for virtually any purpose. Continuous monitoring of an environment or a patient's vital health parameters generates massive amounts of data. Since the server is outside of the sensor's 100-meter range and requires the use of the Wifi standard for sending real-time data streams, the use of this technology is a need. The use of WSNs in the U-healthcare sector is analysed and criticised. The chapter also includes discussion of the database management systems and microprocessor database support currently on the market. Complex operations on sensor data in the U-Healthcare domain are analysed in this study. Our research focuses on incorporating an outlier detection technique into a sensor device that routinely monitors blood sugar and blood pressure to ascertain whether or not the two together constitute a critical situation warranting an alert. Our research shows that a UDBMS has been built for deployment at the sensor, allowing for the dynamic creation and storage of databases as well as the execution of ad hoc queries at the sensor.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2210481

  Paper ID - 227026

  Page Number(s) - e160-e170

  Pubished in - Volume 10 | Issue 10 | October 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Namratha Kollu,  Kandula Chaithanya Deepthi,   "APPLICATIONS OF DATA MINING BASED DBMS ARCHITECTURE FOR WIRELESS SENSOR NETWORK U HEALTHCARE SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 10, pp.e160-e170, October 2022, Available at :http://www.ijcrt.org/papers/IJCRT2210481.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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