IoT-Driven Analytics and Edge Intelligence in Autonomous Navigation Systems

The Internet of Things (IoT) has continued to evolve as a highly disruptive technology by enabling smart connectivity beyond the realm of traditional computing devices. With the advancement in connected technologies driven by 5G and IoT, edge computing is thriving to usher in an interesting computing schemes including analysis, control, and storage, closer to the edge of a network and thereby aiding the resolution of latency and scalability issues. In recent times, IoT is consolidating spectrum of devices thereby offering new possibilities and capabilities not previously envisioned. The aim of this chapter is to explore, analyze, and contribute to the evolving landscape of IoT-driven analytics and edge intelligence in the context of autonomous navigation systems (ANS). The chapter aims to be a valuable resource that informs current understanding, highlights challenges, and guides future research and application of these technologies. We adopted the Systematic Literature Review (SLR). Forty-eight publications were selected from relevant repositories based on suitable predefined criteria. Findings show that the integration of meaningful analytics into ANS with edge computing capacity to provide broad remote control and regulation via a real-time sensing environment is still evolving.