Toward Green Communication in 6G-Enabled Massive Internet of Things
Sandeep Verma, Satnam Kaur, Mohammad Ayoub Khan, Paramjit Sehdev
Abstract
The sixth generation (6G) is envisioned to be a spawned key technology that will support the ubiquitous and seamless connection of a massive number of Internet-of-Things (IoT) devices. The extremely high data rate, low end-to-end delay, high mobility of IoT devices propel the desideratum of extenuating the concern of reducing the energy consumption, i.e., green communication. Hence, in this article, we address the concern of green communication in 6G-enabled massive IoT devices by following the cluster-based data dissemination in the network. We propose a novel hybrid whale spotted hyena optimization (HWSHO) algorithm by synthesizing the whale optimizer algorithm (WOA) with exploitation capabilities of spotted hyena optimizer (SHO). We perform a simulation experimental study that shows the supreme performance of our proposed technique over the most recent proposed energy-efficient data dissemination methods. The proposed technique is an exemplary solution that could be pertinent to various hostile applications seeking green communication of 6G-enabled IoT devices.