An Efficient Integrated approach of Fuzzy C-Means Map Reduce for Weather Forecasting Data Collection

Networks of specialized, geographically scattered wireless sensors that track and record environmental physical conditions and transmit the gathered information to a central point are known as wireless sensor networks. Simply Wireless sensor networks are networks of sensors that collect data about the environment. Wireless sensor networks are ideal for real-time projects that require the collection of data. These networks can be deployed for various tasks such as monitoring temperature and humidity this system will collect data about the areas affected. By the earthquake to give warning in advance to these people living those areas. Through the use of sensors networks, device will be able to predict the level of flooding in an area and provide helpful forecasts to the people living in the affected areas. A machine learning-based fuzzy c-means algorithm is used as the proposed algorithm and input in the form of a dataset.