Adaptive IoT Communication Protocols and Edge Optimization for Smart Urban Mobility Systems

Optimized communication protocols are required to deal with services, such as energy and traffic management, due to rapid proliferation of smart urban systems in time critical scenarios. This study proposes to optimize communication protocols for large scale Internet of Things (IoT) infrastructures utilizing edge computing architecture. Our proposed protocol is evaluated using co-simulation environments OMNeT++ and SUMO to evaluate adaptive communication via Constrained Application Protocol (CoAP) and MQTT. Our results show that CoAP reduces the amount of time needed for message processing, while MQTT minimizes delivery failures. The results emphasize that following prescribed rules for communication makes urban mobility more flexible and efficient in new city systems.