Analytical approach for big data in the internet of things

This chapter describes the analytical architecture system for the Internet of Things that demonstrates the collaborative contextual Big Data sharing among all the devices in a healthcare system. The analytical system involves a network architecture with the enhanced processing features for collected data received by millions of connected things. In the given system, various sensors (can be wearable devices) are attached to the human body to measure the data and transmit it to a primary mobile device (PMD). The amount of collected data is then forwarded to the intelligent building using the Internet to process and perform necessary actions. The intelligent building is composed of a Big Data collection unit (used for filtration and load balancing), Hadoop processing unit (HPU) (comprises HDFS and MapReduce), and an analysis and decision unit. The HPU and analysis and decision unit are equipped with the medical expert system, which reads the sensory data and performs actions.