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Raspberry Pi and iBeacons as environmental data monitors and the potential applications in a growing BigData ecosystem

The constant growth of the digital enterprise has led to a continuous growth of data sources and also data that feeds into a potential BigData ecosystem. With the advent of Internet of Things (IoT), more and more devices get connected, each being a potential data source. One such potential source of constant data feed are sensor devices. Sensors that monitor a wide variety of environmental data such as air pressure, temperature, humidity, air constitution for specific components, etc. produce enormous amounts of data. We could easily envisage various ways of processing this data to suit various business needs. While there are various ways to monitor environmental data using complex hardware and software, there are costs associated with those approaches. One of the most important costs involves the power requirements of equipment itself. In this paper, we present an approach to monitoring environmental data using commodity hardware like the Raspberry Pi, commodity software and sensor elements. This should help serve as a simple proof-of-concept for building a power-efficient and economical environmental monitoring solution that can be scaled based on the expanse over which environmental data monitoring is desired. This solution may also be easily leveraged for other industrial applications given the vast types of sensor hardware that integrate easily with the Pi board. The use of Bluetooth Low Energy (BLE) integrated in the Pi board, along with Beacon technology for data transmissions helps serve the purpose of a power efficient solution.