## 6 Edge Computing
### MEC for Smart Cities  
Distributed edge computing can assist various smart city applications requiring high data rates, real-time interaction, high availability, and local processing. This includes healthcare, virtual reality, uRLL, entertainment and multimedia, tactile Internet, and intelligent transportation applications [59]. Edge computing provides services with the lowest transmission delay. It also handles large amounts of data pre-processing to ensure the fastest service and the required computing resources for the services [60]. Deploying MEC for smart city systems provides many benefits, including latency reduction, availability increase, reliability increase, energy saving, and network flexibility. Table 5 introduces the benefits of deploying MEC for smart cities [61; 62; 63]. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Value Added** & **MEC for Smart City** & **Applications** \\ \hline \multirow{6}{*}{Real-time interaction} & This is one motivation for using edge computing over cloud & \multirow{6}{*}{Surveillance applications} \\  & computing for smart cities. & \(\bullet\) & Traffic management \\  & MEC improves the QoS and implements low latency for & \(\bullet\) & Autonomous vehicles \\  & delay-sensitive services, including unmanned aerial & \(\bullet\) & Smart homes \\  & vehicles (UAVs), tactile Internet, remote surgery, and & \(\bullet\) & Smart metering \\  & vehicular accident prevention. & \(\bullet\) & Smart metering \\  & Also, edge computing provides decision making and data & \(\bullet\) & Healthcare \\  & analysis in real time. & \(\bullet\) & Traffic management \\ \hline \multirow{2}{*}{Local processing} & MEC reduces traffic between cells and the core network and & \(\bullet\) & Autonomous vehicles \\  & increases spectrum efficiency. & \(\bullet\) & Smart homes \\ \hline \multirow{6}{*}{Delay reduction} & MEC pushes resources closer to the network’s edge, & \multirow{6}{*}{Play data transmission times.} & \multirow{6}{*}{Play data transmission times.} \\  & lowering data transmission times. & & \(\bullet\) \\  & This low latency is critical for applications such as real-time & \(\bullet\) & Autonomous vehicles \\  & traffic control, self-driving cars, and emergency & \(\bullet\) & Emergency response systems \\ \hline \multirow{6}{*}{Improved spectral efficiency} & By performing data processing tasks in proximity to the & \multirow{6}{*}{Surveillance applications} \\  & source of the data, MEC mitigates the need to transmit & \multirow{6}{*}{Traffic management} \\  & substantial amounts of data to far data centers. & \multirow{6}{*}{Autonomous vehicles} \\  & Consequently, this approach optimizes the use of network & \\ \cline{1-1}  & capacity and alleviates congestion on the network. & \multirow{6}{*}{Autonomous vehicles} \\ \cline{1-1}  & This is crucial for real-time and multimedia-based smart & \\ \cline{1-1}  & city applications. & \\ \hline \multirow{6}{*}{Improving the quality of service and experience (QoS and QoE)} & MEC facilitates meeting various requirements of the QoS & \multirow{6}{*}{Surveillance applications} \\  & and QoE of heterogeneous smart city applications. & \\ \cline{1-1}  & Multimedia services need a high bandwidth and low & \multirow{6}{*}{Traffic management} \\ \cline{1-1}  & latency, where the service providers do not control and & \\ \cline{1-1}  & distribute the contents. & \multirow{6}{*}{Autonomous vehicles} \\ \cline{1-1}  & MEC facilitates implementing new applications and services & \\ \cline{1-1}  & that allow the service provider to specify certain & \\ \cline{1-1}  & QoS criteria. & \multirow{6}{*}{Services providers should be aware of customers and } \\ \cline{1-1}  & Service providers should be aware of customers and & \\ \cline{1-1}  & contextual information requirements, such as their interests & \\ \cline{1-1}  & and preferences. Then, the information can be allocated to & \\ \cline{1-1}  & attract customers and improve their QoE. & \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Benefits of implementing MEC for smart cities.