基于传感网的水环境监测系统研究现状及趋势
The Water Environment Monitoring System Based on Sensor Network Research Present Situation and the Trend
DOI: 10.12677/JA.2012.23004, PDF, HTML, XML, 下载: 3,221  浏览: 10,094 
作者: 胡云冰, 牟向宇:重庆电子工程职业学院计算机学院,重庆
关键词: 在线式物联网水质监测Online; Internet of Things; Water Quality Monitoring
摘要: 伴随着3G网络时代的到来,物联网的应用渗透到工业生产和人们日常生活的各个角落。传感器的设计和生产正朝着集成化、微型化、智能化的方向发展,无线通讯网络在信息传输与处理技术的支持下已经取得了突破性的进展。其应用前景十分广阔,在工农业生产监控、城市交通管理、生物医疗技术、野外环境监测、物流管理、智能化家电等领域具有重要的科研和应用价值。本文通过对已有算法的深入研究和比较,我们发现水环境物联网监测云是下一步水环境监测发展趋势,在国内外是首次提出,且在国内受到很大的重视,适用于我国广大的不同水域。
Abstract: With the advent of the era of 3Gnetwork, the application of Internet of things permeates every corner of the industrial production and people’s daily life. Sensor design and production are moving in the direction of integration, miniaturization, intelligent, and wireless communication network with the support of information transmission and processing technology has made a breakthrough progress. Its application prospect is very broad. In industrial and agricultural production monitoring, urban traffic management, biomedical technology, field environment monitoring, logistics management, intelligent home appliances and other fields, it has important scientific and application value. In this article, through in-depth study and comparison of existing algorithm, we find out that water environment monitoring cloud is the next step development trend of water environment monitoring. The idea has been put forward for the first time both at home and abroad. At home it is regarded very seriously, and it is suitable for the different waters in our country.
文章引用:胡云冰, 牟向宇. 基于传感网的水环境监测系统研究现状及趋势[J]. 天线学报, 2013, 2(3): 17-20. http://dx.doi.org/10.12677/JA.2012.23004

参考文献

[1] Akyildiz, I.F., Pompili, D. and Melodia, T. (2006) State of the art in protocol research for under water acoustic sensor networks. Proceedings of the 1st ACM International Workshop on Under- water Networks, New York: ACM, 7-16.
[2] Rice, J. and Green, D. (2008) Under water acoustic communica- tions and networks for the US Navy’s Sea web program. Pro- ceedings of the 2nd International Conference on Sensor Tech- nologies and Applications, Piscataway: IEEE, 715-722.
[3] Vasilescu, I., Kotay, K., Rus, D., et al. (2005) Data collection, storage, and retrieval with an under water sensor network. Pro- ceedings of the ACM Sensor Systems 05, New York: ACM, 154- 165.
[4] Ingelrest, F. and Barrenetxea, G. (2010) Sensor scope: Applica- tion-specific sensor network for environmental monitoring. ACM Transactions on Sensor Networks, 4, 397-408.
[5] Wills, J., Ye, W. and Heidemann, J. (2006) Low power acoustic modem for dense under water sensor networks. Proceedings of the 1st ACM International Workshop on Underwater Networks, New York: ACM, 79-85.
[6] 彭鹏 (2012) 基于物联网的水环境在线监测系统研究. 华中科技大学.
[7] 封松林, 叶甜春 (2010) 物联网/传感网发展之路初探. 中国科学院院刊, 1, 50-54.
[8] Zhu, X.R., Shen, L.F. and Yum, T.-S. (2007) Hausdorff clus- tering and minimum energy routing for wireless sensor networks. IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, 58, 548-555.
[9] Liu, L.F. and Jin, S. (2008) A clustering control algorithm of wireless sensor networks in low probability event scenario. Journal of Computer Research and Development, 45, 1662- 1669.
[10] Dikaiakos, M.D., Katsaros, D., Mehra, P., et a1. (2009) Cloud computing: Distributed internet computing for IT and scientific research. IEEE Internet Computing Magazine, 13, 10-13.
[11] Amazon EC2, 2011. http://aws.Amazon.com/ec2
[12] Dean, J. and Ghemawat, S. (2010) MapReduce: A flexible data processing tool. Communications of the ACM, 53, 72-77.
[13] 水利部水文司环境资源处 (1998) 水环境监测是管理水资源保护水环境的基础和手段. 水利技术日监督, 2, 15-22.
[14] 孙扬, 李永峰, 韩博 (2008) 水污染生物监测现状. 上海工程技术大学学, 2, 152-155.
[15] 程英, 吕琳, 雒彦军 (2001) 应用水生生物监测水污染. 黑龙江环境通报, 1, 79-80.
[16] 李江平, 李雯 (2001) 指示生物及其在环境保护中的应用. 云南环境科学, 1, 51-54.
[17] 李慧蓉 (2002) 生物监测技术及其研究进展. 江苏石油化工学院学报, 2, 57-60.