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A Systematic Approach of Data Fusion Technique in RFID Sensor Network using Neuro-Fuzzy Technique

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Sujata Kundu, Chayan Ranjit
10.5120/ijca2016909045

Sujata Kundu and Chayan Ranjit. Article: A Systematic Approach of Data Fusion Technique in RFID Sensor Network using Neuro-Fuzzy Technique. International Journal of Computer Applications 139(9):7-14, April 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Sujata Kundu and Chayan Ranjit},
	title = {Article: A Systematic Approach of Data Fusion Technique in RFID Sensor Network using Neuro-Fuzzy Technique},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {139},
	number = {9},
	pages = {7-14},
	month = {April},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

In this paper, a systematic approach is used for sale prediction in a multistoried retail business with the help of multi sensor data fusion technique using Neural Network and Fuzzy Logic. This method can better solve problems existing in traditional sale prediction which are basically depends on the personal experience. In this work a 3-layers data fusion structure is used. In this system, the sale data experiential characteristic and the sale data-fitting characteristic are fused by fuzzy inference system to get sale prediction. After using the Feed Forward Back Propagation algorithm, the system is trained for predefined target value and then the system calculate the sale statistic in runtime which is fused with the data of expert databases using fuzzy logic technique.

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Keywords

Radio Frequency Identification (RFID), Data Fusion, Artificial Neural Network (ANN), Fuzzy Logic Technique.