Paper presents a modeling of the multi-criteria metric and various suggested resolutions to outline a routing solution that meets the requirements of real-time applications in intelligent environments. The proposed extension of this metric addresses additional mobility aspects necessary for all objects within the ecosystem, considering the ubiquity of smart environment applications. The integration of IoT technology addresses limitations in urban scenarios, promoting the hybridization of LoRaWAN and WiFi communication for global network coverage and stable, reliable routing paths. Furthermore, the paper discusses the influence of artificial intelligence in future cities, highlighting the use of learning algorithms to aid decision-making within the proposed routing solution. The integration of SDN solutions is emphasized to overcome interoperability issues and system heterogeneity, ensuring scalability and robustness of the proposed solutions.