1Metaheuristic Moth Flame Optimization Based Energy Efficient Clustering Protocol for 6G Enabled Unmanned Aerial Vehicle Networks
Adnen El Amraoui
Univ. Artois, UR 3926 Laboratoire de Génie Informatique et d’Automatique de l’Artois (LGI2A), F-62400, Béthune, France
1.1 Introduction
The sixth generation (6G) wireless network is the emerging networking technology across the globe that will give pervasive availability. This arising innovation is described by a few highlights contrasted with the past networking advances such as holographic profound correspondence, artificial intelligence (AI), visible light communication, 3D inclusion edge, and ground and ethereal wireless focal points for cloud usefulness [1]. One of the most significant highlights is the finished dependence on AI with its different advancements to control such an enormous networking engineering. Figure 1.1 shows the application area of 6G network. Wireless correspondence frameworks have encountered significant progressive advancement throughout the most recent years [2]. With the quick advancement of 3GPP 5G stage 2 normalization, the business organization of 5G applications being sent all around the world cannot completely address the difficulties brought by the fast increment of traffic and the constant prerequisite of administrations [3, 4].
For this benefit, industry ...
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