Int. J. of Wireless and Mobile Computing   »   2016 Vol.10, No.3

 

 

Title: Data fusion algorithm of multilayer neural network by ZigBee protocol architecture

 

Authors: Junlin Qiu; Lili Zhang; Tanghuai Fan; Yuan Wang; Huibin Wang

 

Addresses:
College of Computer and Information, Hohai University, Nanjing 211100, China; Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai'an 223003, China
College of Computer and Information, Hohai University, Nanjing 211100, China
School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China
College of Computer and Information, Hohai University, Nanjing 211100, China
College of Computer and Information, Hohai University, Nanjing 211100, China

 

Abstract: This paper is based on the hydrological environment monitoring system on wireless sensor network as the background. We are aiming at the limited network nodes deployment, designing the relatively simple network communication protocol and getting the high requirements of nodes' energy consumption. The paper has designed a data fusion algorithm of MLP-ZigBee by ZigBee Protocol Architecture to solve above problems. The algorithm adopts the three-layers Perceptron model, and improves the efficiency of every layer fusion and total efficiency by the idea of cross-layer fusion model. By comparing with other algorithms, the simulation showed that the algorithm can be repeated sent data by reducing redundancy to reduce the network energy consumption and extend the life cycle of WSN.

 

Keywords: hydrology; environment monitoring; wireless sensor networks; WSNs; data fusion; multilayer perceptron model; ZigBee protocol; multilayer neural networks; limited network deployment; network communication protocol; three layers perceptron model; energy consumption; simulation; network lifetime.

 

DOI: 10.1504/IJWMC.2016.077213

 

Int. J. of Wireless and Mobile Computing, 2016 Vol.10, No.3, pp.214 - 223

 

Submission date: 03 Jun 2015
Date of acceptance: 19 Jul 2015
Available online: 23 Jun 2016

 

 

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