Framework and challenges for Wireless body area networks based on big data

Big Data is a concept proposed on the basis of cloud computing, referring to the large-scale distributed data processing applications that operate on exceptionally large amounts of data. Wireless body area network (WBAN) is a dynamic network with sensor nodes in, on or around the body to monitor the physical parameters. The data of these parameters is so large which we called WBAN big data that traditional methods can not process them efficiently. In this paper, we propose the overall WBAN big data processing framework, and apply MapReduce and HBase to process, store and update the WBAN big data. Two problems of WBAN big data: Interfence and storage are investigated. Taking the specific feathers of WBAN big data into consideration, the framework will satisfy the goal of processing big data in WBAN and achieve the reasonable results that we hope.