文章基本信息

标题：Real Time Wireless Sensor Network for Super Cyclone Prediction Using Genetic Fuzzy Approach
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作者：Arabinda Nanda ; Sonali Pradhan ; Ramakanta Rath 等
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：1
出版社：S.S. Mishra
摘要：Super cyclone prediction is very much essential for human activities and to reduce the construction cost in marine research environment. Wireless Sensor Network (WSN) is one of the research areas in the information world. Which provide platform to researcher with the capability of developing real-time monitoring system. This paper discusses the development of a WSN to detect super cyclone, which includes the design, development and implementation of a WSN for real time monitoring, the development of the genetic fuzzy system needed that will enable efficient data collection and data aggregation, and the network requirements of the deployed super cyclone detection system. The actual deployment of Paradeep port (Latitude: 20¡ã 16' 60 N, Longitude: 86¡ã 42' 0 E) north east coast of India, a region well-known for deals with bulk cargo apart from other clean cargoes. Government of India declared Paradeep as the Eighth Major Port of India on 18th April 1966 making it the FIRST MAJOR PORT in the East Coast commissioned after independence.
关键词：wireless sensor network; fuzzy inference; super cyclone heterogeneous networks