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。 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.
[1]
Peter I. Corke,et al.
Data collection, storage, and retrieval with an underwater sensor network
,
2005,
SenSys '05.
[2]
Marios D. Dikaiakos,et al.
Cloud Computing: Distributed Internet Computing for IT and Scientific Research
,
2009,
IEEE Internet Computing.
[3]
Sanjay Ghemawat,et al.
MapReduce: a flexible data processing tool
,
2010,
CACM.
[4]
François Ingelrest,et al.
SensorScope: Application-specific sensor network for environmental monitoring
,
2010,
TOSN.
[5]
Ian F. Akyildiz,et al.
State of the art in protocol research for underwater acoustic sensor networks
,
2006,
MOCO.
[6]
John S. Heidemann,et al.
Low-power acoustic modem for dense underwater sensor networks
,
2006,
WUWNet '06.
[7]
Liu Linfeng,et al.
A Clustering Control Algorithm of Wireless Sensor Networks in Low Probability Event Scenario
,
2008
.