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Analytical Approach to Optimize Battery Life using Fog-IoT Paradigm

The battery efficient concept is implemented in smartphones with the help of Internet of Things IoT application and Fog computing. The need of the most diverse technology is to increase battery capability to increase response time in smart devices by reducing heat emission in devices. Heat emission that gradually reduces the functionality of device on complex tasks and occupy major part of resources of processor in smartphone. Fog computing is further extended part of cloud computing that is also known as edge networking due to the presence of Fog nodes in the architecture. Whereas, Internet of Things IoT implementation is responsible to monitor and control data that is generated in huge amount by IoT devices such as sensors, grid or edges, cloud and mobile application. These technologies have one thing in common that they analysis real-time and time-sensitive data at the edge of network. In this paper we describe the implementation of FogIot paradigm that helps in optimizing the use of battery and reduces heat emission of smartphone to make it performance efficient. Experimental result shows combined implementation of fog computing and IoT applications in smartphones.