###### Abstract  
Software-Defined Wireless Body Area Network (WBAN)s have gained significance in emergency healthcare applications for remote patients. Prioritization of healthcare data traffic has a high influence on the congestion and delay in the WBAN routing process. Currently, the energy constraints, packet loss, retransmission delay and increased sensor heat are pivotal research challenges in WBAN. These challenges also degrade the network lifetime and create serious issues for critical health data transmission. In this context, a Priority-based Energy-efficient, Delay and Temperature Aware Routing Algorithm (PEDTARA) is presented in this paper using a hybrid optimization algorithm of Multi-objective Genetic Chaotic Spider Monkey Optimization (MGCSMO). This proposed optimized routing algorithm is designed by incorporating the benefits of chaotic and genetic operators to the position updating function of enhanced Spider Monkey Optimization. For the prioritized routing process, initially, the patient data transmission in the WBAN is categorized into normal, on-demand and emergency data transmissions. Each category is ensured with efficient routing using the three different strategies of the suggested PEDTARA. PEDTARA performs optimal shortest path routing for normal data, energy-efficient emergency routing for high priority critical data and faster but priority verified routing for on-demand data. Thus, the proposed PEDTARA ensures energy-efficient, congestion-controlled and delay and temperature aware routing at any given period of health monitoring. Experiments were performed over a high-performance simulation scenario and the evaluation results showed that the proposed PEDTARA performs efficient routing better than the traditional approaches in terms of energy, temperature, delay, congestion and network lifetime. wireless body area network; software-defined network; remote healthcare applications; multi-objective genetic chaotic spider monkey optimization; traffic priority; congestion control; critical data transmission; on-demand data +
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rounds. Tables 9 and 10 illustrate the network lifetime and the number of dead nodes, respectively, of the proposed PEDTARA and existing routing protocols. +++  
Figure 10 displays the comparison of PEDTARA and the existing routing models in terms of (a) transmission rate and (b) percentage of heated nodes. From Figure 10a, it is evident that the PEDTARA has a higher transmission rate than the existing models due to its successful transmission and efficient routing for all three classes of traffic. It has an increase in transmission rate that is 2% higher than EOCC-TARA. Since the higher transmission rate leads to increased network usage and energy consumption, the _SAR_ value of the nodes also increases. This leads to an increased number of heated nodes in the network. Figure 9b shows the percentage of heated nodes, and it is found that the PEDTARA has reduced the heated nodes by using the resting periods for the nodes in the selection process of forwarding nodes. This behavior of the PEDTARA gradually reduces the heating time of the nodes and reduces the number nodes being overheated by about 10%. Tables 11 and 12 illustrate the transmission rate and percentage of heated nodes, respectively, of the proposed PEDTARA and existing routing protocols. \begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Methods**} & \multicolumn{8}{c}{**Number of Rounds**} \\ \cline{2-10}  & **0** & **2000** & **4000** & **6000** & **8000** & **10,000** & **12,000** & **14,000** & **16,000** \\ \hline CDR & 3 & 7 & 8 & 9 & 9 & 9 & 10 & 10 & 10 \\ TAEO & 2 & 5 & 6 & 6 & 7 & 7 & 9 & 9 & 10 \\ Tripe-EEC & 2 & 4 & 5 & 5 & 6 & 6 & 6 & 7 & 9 \\ EOCC-TARA & 2 & 2 & 2 & 2 & 3 & 5 & 6 & 7 & 8 \\ PEDTARA & 1 & 1 & 1 & 1 & 1 & 2 & 3 & 3 & 6 \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Number of dead nodes.