Compressive sensing in wireless sensor network for poultry acoustic monitoring

作     者：Xuan Chuanzhong Wu Pei Zhang Lina Ma Yanhua Liu Yanqiu Maksim 

作者机构：College of Mechanical and Electrical EngineeringInner Mongolia Agricultural UniversityHohhot 010018China College of Physics and Electronic Information ScienceInner Mongolia Normal UniversityHohhot 010022China 

出 版 物：《International Journal of Agricultural and Biological Engineering》 (国际农业与生物工程学报（英文）)

年 卷 期：2017年第10卷第2期

页      面：94-102页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：the General Program of National Natural Science Foundation of China(No.11364029,No.61461042) Key Projects of National Science and Technology Ministry of China(No.2014BAD08B05) “Prairie talent”Industrial Innovation Team project of Inner Mongolia(No.2014-27) 

主　　题：wireless sensor network compressive sensing poultry acoustic monitoring poultry sound data power consumption acoustic data compression 

摘      要：A wireless acoustic sensor network was realized using wireless sensor nodes equipped with microphone condensers,in which its sensor nodes were configured to capture poultry sound data and transmit it via the network to a collection point.A high performance computer can process these large volumes of animal audio signals under different *** performing data signal processing and analyzing the audio signal,poultry sound can be achieved and then transformed into their corresponding behavioral modes for welfare *** this study,compressive sensing algorithm was developed in consideration of the balance between the power saving from compression ratio and the computational cost,and a low power consumption as well as an inexpensive sensor node was designed as the elementary unit of poultry acoustic data collecting and ***,a Zigbee-based wireless acoustic sensor network was developed to meet the challenges of short transmission range and limited resources of storage and *** results demonstrate that the compressive sensing algorithm can improve the communication performances of the wireless acoustic sensor network with high reliability,low packet loss rate and low energy consumption.