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Recently, continuous growth in use of Internet of Things (IoT) produce huge amount of data during processing, which increases load on Cloud Computing network. Cloud Computing does not support low latency for real-time applications. To overcome such drawbacks like low latency, lower response time, IoT-based application moves towards Fog Computing. The ideal solution for these IoT applications is provided by Fog and Cloud Computing. It enables user to process data near to end user. Fog environment also supports low latency and low response time than Cloud environment. Fog Computing allows to schedule application tasks on various Fog node which are available in the network. Fog nodes have limited resources than Cloud Computing hence scheduling tasks among Fog nodes becomes essential. In this paper, a scheduling algorithm, namely, Leveraging Energy for Task Scheduling in Fog Computing …