## 6 Future Trends of Smart City  
To manage different aspects of urban life, including but not limited to traffic, energy consumption, waste management, and public safety, a smart city requires extensive use of IoT devices for monitoring and control. These devices generate massive amounts of data that must be transmitted over the internet to the central control system for processing \begin{table}
\begin{tabular}{l l l} \hline \hline
**Major Domains** & **Impact of AI** & **Reference** \\ \hline \multirow{3}{*}{Smart Mobility} & Improved traffic management & [143; 144; 146] \\  & Autonomous vehicles & [147; 148; 149; 150] \\  & Predictive maintenance & [151; 152] \\ \hline \multirow{3}{*}{Smart Governance} & Improving decision-making & [153; 154; 155] \\  & Enhancing public services & [156; 157] \\  & Increasing transparency and accountability & [158; 159; 160; 161] \\ \hline \multirow{3}{*}{Smart Education} & Personalized learning & [162; 163; 164] \\  & Intelligent tutoring & [165; 166; 167] \\  & Curriculum development: & [168; 169; 170] \\ \hline \multirow{3}{*}{Smart Economy} & Increased productivity & [171; 172; 173; 174] \\  & Improved decision-making & [175; 176] \\  & Enhanced customer & [177; 178; 179] \\  & experience & \\ \hline \multirow{3}{*}{Smart Healthcare} & Medical diagnosis & [180; 181; 182] \\  & Predictive analytics & [183; 184; 185; 186; 187; 188] \\  & Drug discovery & [185; 186; 187] \\ \hline \multirow{3}{*}{Smart Environment} & Energy efficiency & [189; 190; 191; 192] \\  & Waste management & [193; 194; 195] \\ \cline{1-1}  & Environmental monitoring & [196; 197; 198] \\ \cline{1-1}  & Sustainable transportation & [199; 200; 201] \\ \hline \multirow{3}{*}{Smart Living} & Home automation & [202; 203; 204; 205] \\ \cline{1-1}  & Personalized & [206; 207; 208] \\ \cline{1-1}  & recommendations & Security and safety & [209; 200; 201] \\ \cline{1-1}  & Health and wellness & [212; 213; 214; 215] \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Summary of the impact of AI on smart city technologies. and analysis. Therefore, a gigantic IoT connection is essential for successfully implementing a smart city. Implementing a 5G-based [216] IoT network is a potential solution for managing a massive network in a smart city scenario. This network [217; 218], based on the wireless software-defined networking (WSDN) paradigm, offers a flexible and rapid network infrastructure to facilitate the deployment of IoT-based smart city networks [219]. It has increased speed and bandwidth where the data transfer rate reaches up to 20 Gbps. The 5G network can manage the enormous volume of data IoT devices generate. Its higher bandwidth can accommodate more connected devices, enabling various new applications for enhancing urban life in smart cities. Additionally, 5G networks offer low latency and improved reliability, making them desirable for powering IoT-based smart city networks. With latency as low as 1 ms, 5G technology can enable the development of more real-time applications. The reduced latency ensures minimal delay between IoT devices, leading to faster and more efficient communication. This feature is crucial for developing applications such as smart drone transport, autonomous vehicles, real-time remote surgery, or patient monitoring for smart healthcare in a smart city. Devices with lower latency can send and receive data much more quickly, enabling a range of innovative and time-sensitive use cases. Compared to previous generations (i.e., 2G, 3G, or 4G), 5G networks are considered more reliable, offering features such as network slicing and multi-access edge computing (MEC). These features ensure consistent and uninterrupted connectivity for IoT devices in congested areas of a smart city.