Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/17008
Title: Artificial Neural Network Application for Error Estimation in Wireless Sensor Network
Authors: Agajo, J
Kolo, J. G
Maliki, Danlami
Buhari, U
Ogbole, C
Keywords: Packet
Data
Neural Network
Wireless Sensor Network
Issue Date: 2017
Publisher: . ISER-173rd International Conference of Science, Technology, Engineering and Management (ICSTEM) Dubai, UAE
Citation: Agajo, J., Kolo, J. G., Maliki, D., Umar, B. U., Inalegwu, O. C., (2017). Artificial Neural Network Application for Error Estimation in Wireless Sensor Network. ISER-173rd International Conference of Science, Technology, Engineering and Management (ICSTEM) Dubai, UAE. Pp 22-26.
Abstract: This paper comes up with an error estimation model for Wireless Sensor Nodes, the integrity of data received after transmission within a signal coverage range less or equal to 45 metres is analysed, Neural Network linear regression method was used to evolve resolve equation that compare error with weight of data received as de(v) against dw_ij , an equation for error rate was also evolved after careful comparing between data packet transmitted and packet received, error rate e_r for sensor was calculated to be 0.00918 thereby establishing the fact that expected packed to be received for every data transmitted is the product of e_r and Packet Transmitted.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/17008
Appears in Collections:Computer Engineering

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