# Deployment Strategy of Shore-Based Cooperative Units for the Internet of Inland Vessels
## 4 Case Study  
### Calculations of Communication Requirements  
The traffic flow density is 10 ships/km in a channel with a length of 10 km. According to the business model in Section 2.2, relevant computing software was used to calculate the data throughput of system communication (Table 2) [20]. \(\eta\) is 0.87; \(R_{sig}\) is 0.1; \(P_{retr}\) is 0.01.  
According to the simulation results of the total communication data throughput of the system (Figure 5), the probability density function (PDF) and cumulative distribution function (CDF) of the system throughput can be obtained (Figure 6). The system communication data throughput of the channel is mainly concentrated at 5.7 \(\times\) 10\({}^{8}\) bps in the above-given scenario. If the 6.3 \(\times\) 10\({}^{8}\) bps communication bandwidth is provided for this channel, the communication needs of the system can be met.  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Business** & **Packet Generation Description** & **Transmission Direction** & **Packet Size (B)** & **Frequency (Hz)** \\ \hline \multirow{4}{*}{Navigation safety warning} & The ship’s end detects complicated & \multirow{4}{*}{Upstream} & \multirow{4}{*}{200} & \multirow{4}{*}{10} \\  & navigation and sends the ship’s & & & \\ \cline{1-1} \cline{4-5}  & status and early warning & & & \\ \cline{1-1} \cline{4-5}  & information to the shore end. & & & \\ \cline{1-1} \cline{2-5}  & Conduct safety monitoring at the & & & \\ \cline{1-1} \cline{4-5}  & shore end and return the results. & & & \\ \hline \multirow{4}{*}{Reconstruction of \(\,\)} & Bridge-perspective video & \multirow{4}{*}{Upstream} & \multirow{4}{*}{50} & \multirow{4}{*}{10} \\  & & & & \\ \cline{1-1} \cline{4-5}  & & & & \\ \cline{1-1} \cline{4-5}  & & & & \\ \hline \multirow{4}{*}{Remote driving \(\,\)} & Remote driving instructions issued & \multirow{4}{*}{Downstream} & \multirow{4}{*}{100} & \multirow{4}{*}{10} \\  & at the shore-end & & & \\ \cline{1-1} \cline{4-5}  & & & & \\ \cline{1-1} \cline{4-5}  & & & & \\ \cline{1-1} \cline{4-5}  & & & & \\ \hline \multirow{4}{*}{Route planning} & The shore-end system performs & \multirow{4}{*}{Downstream} & \multirow{4}{*}{500} & \multirow{4}{*}{1} \\  & route planning based on various & & & \\ \cline{1-1} \cline{4-5}  & factors and sends the planning & & & \\ \cline{1-1} \cline{4-5}  & results to the ship-end. & & & \\ \hline \multirow{4}{*}{Speed optimization} & The shore-end system optimizes the & \multirow{4}{*}{Downstream} & \multirow{4}{*}{50} & \multirow{4}{*}{1} \\  & speed according to various factors and sends the results to the ship-end. & & & \\ \cline{1-1} \cline{4-5}  & The shore-end sends navigation-area & \multirow{4}{*}{Downstream} & \multirow{4}{*}{500} & \multirow{4}{*}{10} \\ \cline{1-1} \cline{4-5}  & traffic information, channel & & & \\ \cline{1-1} \cline{4-5}  & conditions, and meteorological & & & \\ \cline{1-1} \cline{4-5}  & information to the ship-end. & & & \\ \cline{1-1} \cline{4-5}  & The shore-end sends video & \multirow{4}{*}{Downstream} & \multirow{4}{*}{\(U(1.25\times 10^{4},\)} \\  & information of the navigation area to & & & \(2\times 10^{4})\) & \\ \hline \hline \end{tabular}
\end{table}
Table 2: Simulation parameter settings.