With the advent of modern technologies, IoT has become an alluring field of research. Since IoT connects everything to the network and transmits big data frequently, it can face issues regarding a large amount of energy loss. In this respect, this paper mainly focuses on reducing the energy loss problem and designing an energy-efficient data transfer scenario between IoT devices and clouds. Consequently, a layered architectural framework for IoT-cloud transmission has been proposed that endorses the improvement in energy efficiency, network lifetime and latency. Furthermore, an Opposition based Competitive Swarm Optimizer oriented clustering approach named OCSO-CA has been proposed to get the optimal set of clusters in the IoT device network. The proposed 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 performed.

随着现代技术的出现，物联网已成为一个诱人的研究领域。由于物联网将一切连接到网络并频繁传输大数据，因此它可能面临大量能量损失的问题。在这方面，本文主要着眼于减少能量损失问题和设计物联网设备和云之间的节能数据传输场景。因此，提出了一种用于物联网云传输的分层架构框架，以支持能效、网络寿命和延迟的改进。此外，已经提出了一种名为 OCSO-CA 的基于反对的竞争群优化器的集群方法，以获得物联网设备网络中的最佳集群集。拟议的战略将有助于以节能的方式管理集群内和集群间数据通信。此外，还对所提出的方法与最先进的聚类优化算法进行了比较分析。