Internet of Things and Analytics

Abstract

Internet of Things (IoT) has became one of the recent trends in computing field as there is a flood of sensors and mobility in everyday life activities. Most of the wearables are used for tracking of different activities like running, walking, and sleeping. Monitoring of such activities is possible through data analytics . Due to reasons such as wide adoption of mobiles, reduction in the cost of sensors has lead to the paradigm of IoT. The different components that are involved in IoT are computer networks, sensors, cloud computing, and analytics. These components need to be integrated together to develop an application for IoT systems. IoT has to be aligned to the data analytical platforms like Hadoop and Hive for developing applications. The different applications of IoT include smart grid, smart mobility, activity analysis, and air quality analysis. Activity analysis consists of analyzing the typical activities of a person like walking, running, and sleeping. Air quality analysis involves analyzing the different components of the air such as CO2, NO2, and others for monitoring. In this chapter, firstly an overview of IoT and its components are highlighted followed by the case studies related to it. Two case studies namely, air quality analysis and activity analysis are discussed as a part of this chapter.