Hadoop and MapReduce technology as a solution for Wireless Body Area Networks in e-Health

Wireless Body Area Network is a wireless network of portable computing devices to monitor the state of the human body. The benefit is very important in health care and allows remote monitoring of patients. It is necessary to find solutions for the processing of such sensor data, the growth of the data increases every second. The concept of rapid data growth with large data and variance data types is characteristic of Big Data. In this paper, we were focused on integrating the sensor data into Hbase is to do this we start by simulating the numbers of data generated by the sensor network with NS2, and thereafter we estimate the amount of data for a given period and for the insertion of the generating data in Hbase we use a mass insertion script and in the last step we analyzed the data with an algorithm of data analysis with MapReduce programming for the Internet of objects in the field of health.

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