DocumentCode
1931340
Title
Spatial Interpolation of Weather Sensor Data on P2P Network
Author
Kato, Seiichi X. ; Tanaka, Hirokazu ; Teranishi, Yuuichi ; Shimojo, Shinji
Author_Institution
Liberal Arts Center, Hyogo Univ. of Health Sci., Kobe
fYear
2009
fDate
16-19 March 2009
Firstpage
1066
Lastpage
1069
Abstract
Recently, environment monitoring system attracts attention because global and/or local disasters such as global warming problem, air pollution, heavy rain and flood etc. occur everywhere. In addition, some people and companies have a weather sensor and broad band internet service become widespread as weather sensor and internet service cost lower. Many of these existing sensor network are operated by Server-Client model. However, it is difficult to manage a number of distributed sensors, and this model is weak for fault tolerance. We adopt P2P model in order to correct the necessary information effectively. On the other hand, the number of weather sensors cannot be satisfied enough to cover an arbitrary point on the earth though the users of such a weather sensor network are keen to know the information around them. In this paper, we present the method of spatial interpolation of the weather sensor data on P2P network based on location information.
Keywords
Internet; broadband networks; client-server systems; fault tolerance; geophysical equipment; interpolation; peer-to-peer computing; wireless sensor networks; P2P model; P2P network; air pollution; broad band Internet service; distributed sensors; environment monitoring system; fault tolerance; flood; global warming problem; heavy rain; sensor network; server-client model; spatial interpolation; weather sensor data; Air pollution; Costs; Earth; Fault tolerance; Floods; Global warming; Interpolation; Monitoring; Rain; Web and internet services;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex, Intelligent and Software Intensive Systems, 2009. CISIS '09. International Conference on
Conference_Location
Fukuoka
Print_ISBN
978-1-4244-3569-2
Electronic_ISBN
978-0-7695-3575-3
Type
conf
DOI
10.1109/CISIS.2009.206
Filename
5066925
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