# A Survey on the Application of WirelessHART for Industrial Process Monitoring and Control
## 3 Industrial Applications of WirelessHART
### Real-Time Implementation
\begin{table}
\begin{tabular}{p{42.7 pt} p{42.7 pt} p{42.7 pt} p{42.7 pt} p{42.7 pt} p{42.7 pt} p{42.7 pt} p{42.7 pt}} \hline \hline
**Ref.** & **Process** & **Field device** & **T** & **ST** & **C** & **Mo** &
\begin{tabular}{c} **Challenges** \\ **Addressed** \\ \end{tabular} & **Results** \\ \hline
[50] & \begin{tabular}{c} Temperature and Pressure \\ Sensors \\ analysis \\ \end{tabular} & \begin{tabular}{c} M \\ Sensors \\ \end{tabular} & \begin{tabular}{c} Network \\ simulator \\ (NS-1) \\ \end{tabular} & - & SI & \
\begin{tabular}{c} Security \\ (Signal \\ Jamming), \\ Interoperability \\ \end{tabular} &
\begin{tabular}{c} WirelessHART and \\ WLAN coexistence \\ investigation and network \\ performance examination \\ \end{tabular} \\ \cline{2-10}
[51] & \begin{tabular}{c} Emerson \\ Smart \\ Wireless \\ Gateway \\ \end{tabular} & S & \
\begin{tabular}{c} Emerson \\ (AMS Snap-on) \\ \end{tabular} & - & RT & Packet loss &
\begin{tabular}{c} Data scheduling \\ and routing analysis for \\ packet drop mitigation \\ \end{tabular} \\ \cline{2-10}
[52] & \begin{tabular}{c} Sensor nodes \\ \end{tabular} & M & \begin{tabular}{c} Network \\ simulator (NS-2) \\ \end{tabular} & - & SI & \
\begin{tabular}{c} Latency, \\ Noise \\ \end{tabular} &
\begin{tabular}{c} Effects of packet error rate \\ and packet drop analysis \\ \end{tabular} \\ \hline
[53] & \begin{tabular}{c} Sensor node \\ networking \\ experiment \\ \end{tabular} & \begin{tabular}{c} Temperature \\ sensor, \\ XDM2510 HE \\ Dust network \\ gateway \\ \end{tabular} & L, & WirelessHART network \\ S & \begin{tabular}{c} Network \\ simulator \\ \end{tabular} & - & SI, \begin{tabular}{c} RT \\ RT \\ \end{tabular} & \
\begin{tabular}{c} Signal \\ reliability, \\ Latency \\ \end{tabular} &
\begin{tabular}{c} WirelessHART network \\ for Dense Reader \\ Environment in industrial \\ monitoring \\ \end{tabular} \\ \hline
[56] & \begin{tabular}{c} Laboratory \\ scale open \\ loop process \\ \end{tabular} & \begin{tabular}{c} ABB \\ AC800M \\ \end{tabular} & M & \
\begin{tabular}{c} TrueTime \\ with MATLAB \\ \end{tabular} &
\begin{tabular}{c} PI, \\ PPI \\ \end{tabular} & SI & Latency & Reduced the problems caused by clock drift \\ \hline
[55] & \begin{tabular}{c} DC Motor \\ control \\ \end{tabular} & Sensor nodes & M & \begin{tabular}{c} TrueTime \\ with MATLAB \\ \end{tabular} & PD & SI & \
\begin{tabular}{c} Packet loss, \\ Channel \\ hopping \\ \end{tabular} &
\begin{tabular}{c} WirelessHART \\ implementation \\ for sluggish processes \\ \end{tabular} \\ \hline
[58] & \begin{tabular}{c} Level \\ Process \\ \end{tabular} & Sensor nodes & M & \begin{tabular}{c} Jitterbug \\ toolbox \\ \end{tabular} & LQG & SI & \
\begin{tabular}{c} Data \\ reliability \\ \end{tabular} &
\begin{tabular}{c} Improving the network \\ reliability and controller \\ design \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Summary of WirelessHART for monitoring and control applications in the simulation environment. for different controllers in the WirelessHART network for various industrial processes. Meanwhile, the tunable parameters possessed by the different controllers discussed above are shown in Table 6[70]. The parameters discussed above are some of the major contributions towards the real-time implementation of WirelessHART in process control. A detailed study of the real-time implementation of WirelessHART in different controllers, industrial applications, topologies, software tools, and other parameters is given in Table 7. The majority of the papers concentrated primarily on overcoming the problems of latency and data reliability.