Computational Intelligence for Dynamic Route Planning in IoT-connected Autonomous Vehicle Networks

Abstract

In this IoT-connected vehicular network, a robotic system is distributed at the global scale and oriented towards establishing Robot-Enabled Networks for personal mobility but also anywhere else alongside the roads; hence, denoted in future versions of the paper as the Internet of Things-connected Autonomous Vehicle Networks, IV-AN or simply Autonomous Vehicle Networks, AN. [1] The Internet of Vehicles (IoV) has attracted considerable attention from the wireless communication and vehicular networking research communities, and its subdomains are multitier networks of entities that represent the composite structure of a cognitive and cooperative Cyber-Physical System, as a Complex IoT—Internet of Things—connected Autonomous Vehicle Networks (IoT-connected Autonomous Vehicle Network—IoT-Connected AN or simply AN), as introduced in this paper after performances using Global System for Mobile Communications (IoV–IV–​AN—Internet-Connected AN)3 contributions. Finally, this article has as thesis—definition—formula the top-level objective on what means the next pillar of the “Smart Car” deployed under the umbrella called a lot later Robot-Enabled Networks, where the global robotic clouds are directly perturbing the robotic clouds of the interconnected “IV-AN ND” (Navigation Devices) class of real-car human-oriented systems.