Toward Green Communication in 6G-Enabled Massive Internet of Things

TLDR

6G is expected to enable ubiquitous, high‑rate, low‑latency connectivity for massive IoT, making energy efficiency a critical requirement. The study aims to achieve green communication for 6G‑enabled massive IoT by employing cluster‑based data dissemination. A hybrid whale‑spotted hyena optimization (HWSHO) algorithm, merging the whale optimizer with the spotted hyena optimizer, is proposed to optimize data dissemination. Simulations demonstrate that HWSHO outperforms recent energy‑efficient dissemination methods and offers a promising solution for hostile 6G‑IoT scenarios.

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.