With the advent of modem technologies,IoT has become an alluring field of research.Since IoT connects every-thing to the network and transmits big data frequently,it can face issues regarding a large amount of energy loss.In this re-spect,this paper mainly focuses on reducing the energy loss problem and designing an energy-efficient data transfer sce-nario between IoT devices and clouds.Consequently,a lay-ered architectural framework for IoT-cloud transmission has been proposed that endorses the improvement in energy effi-ciency,network lifetime and latency.Furthermore,an Oppo-sition based Competitive Swarm Optimizer oriented cluster-ing approach named OCSO-CA has been proposed to get the optimal set of clusters in the IoT device network.The pro-posed strategy will help in managing intra-cluster and inter-cluster data communications in an energy-efficient way.Also,a comparative analysis of the proposed approach with the state-of-the-art optimization algorithms for clustering has been per-formed.