[1]刘野,舒磊,霍志强,等.基于无线传感器网络的环境噪声感知研究进展[J].南京农业大学学报,2020,43(5):808-819.[doi:10.7685/jnau.201912055]
 LIU Ye,SHU Lei,HUO Zhiqiang,et al.Research progress of wireless sensor networks for noise monitoring[J].Journal of Nanjing Agricultural University,2020,43(5):808-819.[doi:10.7685/jnau.201912055]
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基于无线传感器网络的环境噪声感知研究进展()
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《南京农业大学学报》[ISSN:1000-2030/CN:32-1148/S]

卷:
43卷
期数:
2020年5期
页码:
808-819
栏目:
综述
出版日期:
2020-09-15

文章信息/Info

Title:
Research progress of wireless sensor networks for noise monitoring
作者:
刘野1 舒磊12 霍志强2 郭宣辰1 韩光洁1
1. 南京农业大学工学院, 江苏 南京 210031;
2. 林肯大学工学院, 英国 林肯 LN67TS
Author(s):
LIU Ye1 SHU Lei12 HUO Zhiqiang2 GUO Xuanchen1 HAN Guangjie1
1. College of Engineering, Nanjing Agricultural University, Nanjing 210031, China;
2. School of Engineering, University of Lincoln, Brayford Pool, Lincoln LN67TS, UK
关键词:
环境噪声绿色生态无线传感器网络噪声地图智慧农业
Keywords:
environmental noisegreen ecologywireless sensor networksnoise mappingsmart agriculture
分类号:
X593
DOI:
10.7685/jnau.201912055
摘要:
环境噪声已经成为仅次于空气污染的第二大生态环境污染源,其持续危害人类健康、畜禽发育和农作物生长,严重阻碍生态环境的可持续发展。为获得详细噪声分布信息,世界各国陆续启动噪声地图战略计划。本文首先对我国环境噪声感知技术研究发展历程进行总结,并对研究现状进行分析。然后,从系统架构、低成本噪声传感器节点设计、噪声分类学与声源识别、能量捕获和移动噪声感知5个方面综述基于无线传感器网络的环境噪声感知国际研究发展动态。在此基础上,分析能量高效感知、轻量级多元噪声识别、无线多媒体可靠传输和噪声感知节点优化部署4个尚未解决的核心科学问题。最后,对未来研究方向进行展望。
Abstract:
Noise pollution has become the second major environmental issue after the air pollution. It negatively affects public health,animal and plant growth,that therefore seriously hinders the sustainable development of ecological environment. To obtain detailed noise distribution information,several countries have launched the noise mapping strategic action. This paper first summarizes the development roadmap of environmental noise sensing technologies in China,and discusses its current state. Then,a comprehensive survey of recent developments on acoustic sensor networks is provided in terms of system architecture,low-cost sensor node design,sound taxonomy and classification,as well as energy harvesting and mobile sound sensing. Based on that analysis,four open issues regarding energy-efficient sensing,lightweight sound noise identification,dependable wireless multimedia transmission and node deployment are identified. Finally,some insights for future research directions are presented.

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备注/Memo

备注/Memo:
收稿日期:2019-12-27。
基金项目:国家自然科学基金项目(61902188);中国博士后科学基金资助项目(2019M651713);广东省前沿与关键技术创新专项(2017A050506057)
作者简介:刘野,博士,主要从事无线传感器网络研究,E-mail:yeliu@njau.edu.cn。
通信作者:舒磊,教授,主要从事智慧农业研究,E-mail:lei.shu@njau.edu.cn。
更新日期/Last Update: 1900-01-01