Data fusion algorithm of multilayer neural network by ZigBee protocol architecture. (2016)

• Record Type: Journal Article
• Authors: Qiu, Junlin; Zhang, Lili; Fan, Tanghuai; Wang, Yuan; Wang, Huibin
• Is Part Of: International journal of wireless and mobile computing. Volume 10:Number 3(2016)
• Page Start: 214
• Page End: 223
• Publication Date: 2016
• Subjects: 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; Mobile computing -- Periodicals; Wireless communication systems -- Periodicals; 004.6
• Languages: English
• ISSNs: 1741-1084

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.