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http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15254| Title: | ARTIFICIAL NEURAL NETWORK APPLICATION FOR ERROR ESTIMATION IN WIRELESS SENSOR NETWORK |
| Authors: | James, Aagajo Jonathan, Gana Kolo Danlami, Maliki Umar, Buhari Ugbede Ogbole, Inalegwu Collins |
| Keywords: | Packet, Data, Neural Network, Wireless Sensor Nerwork |
| Issue Date: | 1-Jun-2017 |
| Publisher: | Proceedings of ISER 57th International Conference, Dubai, UAE, 1st -2nd June 2017 |
| 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 meters is analysed, Neural Network linear regression method was used to evolve resolve equation that compares error with weight of data received as δ℮(w) against δwij , an equation for error rate was also evolved after carefully comparing between data packet transmitted and Packet received, error rate er for sensor node was calculated to be 0.00918 thereby establishing the fact that expected packet to be received for every data transmitted is the product of er and Packet Transmitted. |
| URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15254 |
| Appears in Collections: | Computer Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2017 ARTIFICIAL NEURAL NETWORK APPLICATION FOR ERROR (2).pdf | 99.52 kB | Adobe PDF | View/Open |
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