An Efficient Routing Algorithm for Self-Organizing Networks in 5G-based Intelligent Transportation Systems

The rapid growth of the consumer Internet of Things (CIoT) has resulted in substantial enhancements in networking and data analytics. The emergence of customer-centric communication technologies like mobile ad hoc networks (MANETs) and vehicular ad hoc networks (VANETs), also known as self-organizing networks (SONs), along with the integration of 5G Internet of Things and artificial intelligence, has paved the way for intelligent transportation systems (ITS). In SONs, each vehicle serves as a network node. Hence, it is essential for these network nodes to interact, communicate, and exchange data in a flexible, efficient, and convenient manner. SONs offer revolutionary communication capabilities by enabling self-configuration, self-setting, and autonomous data transmission. However, one significant drawback of SONs is their poor network performance. In this study, we have developed an efficient routing scheme that aims to enhance the performance and reduce energy consumption of SONs for ITS in smart cities with low mobility speeds. The simulation results clearly show that the proposed algorithm performs better than conventional routing protocols in low-speed mobility scenarios. It outperforms in terms of network lifetime, packet delivery ratio, and latency.