Friday 29th of March 2024
 

Neural networks for error detection and data aggregation in wireless sensor network


Saeid Bahanfar, Helia Kousha and Ladan Darougaran

Correct information and data aggregation are very important in wireless sensor networks because sending incorrect information by fault sensors make to wrong decision about environment and increasing defective sensor during the time incorrect data decries reliability of wireless sensor networks. Previous methods have Problems such as there are fault sensors in wireless sensor network therefore wrong data are sent to CH by these sensors. In this paper apply the neural network within the sensors, fault sensors and wrong data are discovered and eliminated. That is increased efficiency and reliability and longevity sensor networks.

Keywords: CH, sink, Base Station, neural networks, error detection, data aggregation, reliability

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ABOUT THE AUTHORS

Saeid Bahanfar
Received the B.Sc. degree in Computer Software Engineering from Payam Noor University (PNU), Tabriz branch, Iran in 2008._ Currently, he is a M.Sc. student of Computer System Architecture in Islamic Azad University, Tabriz branch, Iran. His research interests include Residue Number System and VLSI Design, wireless sensor network, Neural network

Helia Kousha
received her B.Sc. in Computer Software Engineering from Islamic Azad University, Shabestar branch, Iran in 2008. Currently, she is a M.Sc. student of Computer System Architecture in Islamic Azad University, Tabriz branch, Iran. Her main research interests include Computer Arithmetic, Residue Number System, wireless sensor network

Ladan Darougaran
Was born in Tabriz, Iran, on May 29, 1983. She received the B.Sc. degrees from University of Shabestar (Shabestar, Iran) and M.S.E. student in Islamic Azad University, Tabriz Branch in 2011. Her research interests are in the data aggregation in wireless sensor network. She is a member of Young Researchers Club.


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