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Neural Network Based Characterization and Reliable Routing of Data in Wireless Body Sensor Networks

  • Biradar Shilpa
  • S. G. Hiremath
  • G. Thippeswamy
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 801)

Abstract

Health is very important to each one and for the early discovery of different diseases to get timely treatment Wireless Body Sensor Networks (WBSNs) a subgroup of wireless sensor networks can be used. WBSNs works for collecting the health related data such as ECG, EEG, Glucose values, temperature etc. from human body and route the data towards the destination so that the patients information can be sent to the concerned person. In WBSN the sensor node can either be appropriately located on the body or inserted inside the body. In this work firstly the EEG signals characterization is done with the help of neural networks. EEG signal processing is done with the help of DWT. Then in the secondly routing mechanism used to send the data to the destination. In the health monitoring system routing has an important role. The facts sensed by the sensors need to be routed to the destination effectively. In this work a routing algorithm proposed which can be used to transfer the data to destination efficiently. To route the data to the sink multi hop process is used and the cost function is used to find the node next closest node in the route from source to destination. The experiments are done in MATLAB environment and simulation result shows that efficient classification of EEG signal is done and the proposed scheme provides the less end-to-end as well as good throughput.

Keywords

Wireless Body Sensor Network (WBSN) Wireless Sensor Networks (WSN) Daubechies Wavelet Transforms (DWT) Electroencephalogram (EEG) 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Dr. AITBangaloreIndia
  2. 2.EWITBangaloreIndia
  3. 3.BMSITBangaloreIndia

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