Real Time Wireless Sensor Network for Super Cyclone Prediction Using Genetic Fuzzy Approach

Date Added: Jan 2012
Format: PDF

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.