# Underwater Wireless Sensor Networks Performance Comparison Utilizing Telnet and Superframe
## 6 Results and Discussion
### Consumption of Energy (mWh) in the Idle Mode  
Figure 17 depicts the amount of energy consumed by transmitting mode routing protocols, such as AODV, LAR1, OLSR, Fisheye, and STAR-LORA, when combined with the applications of Telnet and Superframe for 250 nodes. As can be seen in Table 7, the minimum amount of transmitting energy that is necessary for the AODV, LAR1, OLSR, Fisheye, and STAR-LORA routing protocols to send data at their maximum size in the proposed CB-UWSN is 0.45 mWh for Fisheye in the Superframe deployment application and 0.11 mWh for OLSR in the Telnet deployment application. Table 7 shows the comparison result values for all the routing protocols, such as AODV, LAR1, OLSR, Fisheye, and STAR-LORA, when combined with the applications of Telnet and Superframe for 250 nodes. Research Questions and Answers  
**Question 1: How do the Telnet and Superframe protocols influence the power consumption of the UWSN? **  
**Answer 1:** The Telnet and Superframe protocols can have different effects on the power consumption of an underwater wireless sensor network. Telnet is a simple, lightweight protocol that is commonly used in networking applications to establish a remote terminal session with a device. Superframe, on the other hand, is a more complex protocol that is designed specifically for low-power wireless sensor networks, including UWSNs. Figure 16: Consumption of energy when operating in the Receive mode using Telnet and Superframe deployment. Figure 17: Consumption of energy when operating in the Idle mode using Telnet and Superframe deployment. One way that Telnet and Superframe can influence power consumption is through their communication overhead. Telnet has a relatively low communication overhead, which means that it requires less power to transmit and receive data compared to Superframe. The same has been shown in our simulation results in the Telnet deployment application, the STAR-LORA routing protocol consumed 0.01 mWh of energy, whereas the LAR1 routing protocol consumed 0.021 mWh of energy in the Superframe deployment application. LAR1 used 0.009 mWh of energy in transmit mode when running the Superframe deployment application, whereas STAR-LORA used 0.05 mWh of energy while running the Telnet deployment application. This makes Telnet a good choice for applications where power consumption is a critical concern. Another way that Telnet and Superframe can influence power consumption is through their data transmission rate. Telnet is a relatively slow protocol compared to Superframe, which can transmit data at higher rates. Higher data transmission rates can consume more power, but can also reduce the amount of time that devices need to be active, which can lead to overall energy savings. **Question 2: How can reduced data transmission speeds affect the UWSN when using the Telnet and Superframe protocols? **  
**Answer 2:** Reduced data transmission speeds can have different effects on the performance of an underwater wireless sensor network, depending on the specific communication protocol used, such as Telnet and Superframe. In the case of Telnet, which is a relatively slow protocol, reduced data transmission speeds can result in longer transmission times and higher latency. This can be a concern in applications where real-time data are critical, such as underwater monitoring or surveillance. Longer transmission times can also increase the risk of data loss due to fading or interference, which can further reduce the reliability of the network. In contrast, Superframe is designed to operate at higher data transmission rates, which can result in lower latency and faster data transfer. However, Superframe's higher data transmission rates can consume more power, which can be a concern in low-power UWSN devices. Reduced data transmission speeds can also affect the overall network performance of the UWSN. In general, slower data transmission speeds can limit the amount of data that can be transmitted, which can impact the accuracy and timeliness of the data collected by the network.