IOT BASED INFORMATION SYSTEM FOR ENVIRONMENT MONITORING AND MANAGEMENT USING K MEDOID ALGORITHM

Abstract

Environmental problems such as climate change and natural disasters have received much interest in recent years. Environmental monitoring and management provides us different methods to gain deeper knowledge about climate changes, natural disasters and the spread of infectious diseases. The study on environmental changes and conditions helps to improve the habitat and economic conditions. Research in climate changes helps to derive different solutions for better agriculture, habitat and efficient lifestyle. The Internet of Things (IoT) is a notion in which Internet will be integrated into everyday objects that we use in our house, by tagging chips or sensors thus creating an intelligent network of the physical objects. IoT based information system for environmental monitoring and management provides an efficient mechanism for monitoring the temperature and humidity changes and management of the same. This new concept is the combination of IoT and data mining. Internet of things offers large amount of data and data mining activities offers information extraction from the unstructured big data. The proposed system uses K medoid for clustering the weather based data. The application of IoT based information system for environmental monitoring and management includes fire detection, in the field of agriculture etc.