E-health networks has various projects in ns3 some of the samples that we  executed in these years are discussed below. We combined numerous projects samples explanation, description to deploy and performance metrics were given. We offer few efficient E-health networks projects using ns3 simulation:

1. Performance Evaluation of Telemedicine Systems:
   • Objective: The performance of telemedicine systems over different network configurations had evaluated.
   • Description:
     • Simulation Setup: A telemedicine network where patient data, including video and vital signs, is transmitted to a healthcare provider is mimicked.
     • Protocols: For real-time data transmission execute protocols such as TCP/IP, UDP, and RTP
     • Metrics: Analyse the metrics like latency, jitter, packet loss, and video quality under different bandwidth and network load conditions.
     • Tools: Use ns3 for network simulation tools and video traffic models.
2. QoS in E-Health IoT Networks:
   • Objective: The Quality of Service (QoS) parameters in IoT-based e-Health networks has been analysed.
   • Description:
     • Simulation Setup: Mimic an IoT network with medical sensors and devices transmitting data to a central server.
     • Protocols: Execute QoS-aware protocols like IEEE 802.15.4e (Time-Slotted Channel Hopping) and MQTT.
     • Metrics: In changing network conditions evaluate latency, throughput, reliability, and energy consumption.
     • Tools: Use ns3 for IoT modules and QoS evaluation tools.
3. Secure Data Transmission in E-Health Networks:
   • Objective: Evaluate the efficiency of security protocols to make sure the data privacy and integrity in e-Health networks.
   • Description:
     • Simulation Setup: We had to generate a network with medical devices transmitting sensitive health data.
     • Protocols: Execute security protocols like SSL/TLS and IPsec for secure communication.
     • Metrics: The impact of security protocols on latency, throughput, and energy consumption has been analysed.
     • Tools: Use ns3 for security modules and network simulation tools.
4. Energy-Efficient Communication in E-Health Networks:
   • Objective: to optimize and evaluate an energy-efficient communication protocols for e-Health networks to spread out device battery life.
   • Description:
     • Simulation Setup: An e-Health network with various medical sensors and devices nave Mimicked.
     • Protocols: Execute energy-efficient protocols such as IEEE 802.15.6 (WBAN) and contrast with standard protocols such as ZigBee (IEEE 802.15.4).
     • Metrics: Evaluate the performance metrics like network lifetime, energy consumption, and data reliability.
     • Tools: Use ns3 for energy model and WBAN modules.
5. Interference Mitigation in E-Health Networks:
   • Objective: The impact of interference on e-Health network performance and develop mitigation strategies has been studied.
   • Description:
     • Simulation Setup: An e-Health network with multiple medical devices operating in a hospital environment has mimicked.
     • Protocols: Execute interference mitigation approaches like frequency hopping and adaptive channel selection.
     • Metrics: Analyse packet delivery ratio, latency, and network reliability in the presence of interference.
     • Tools: Use ns3 for interference models and e-Health network modules.
6. Scalability Analysis of E-Health Networks:
   • Objective: Analyse the scalability of e-Health networks with an increasing number of devices and data traffic.
   • Description:
     • Simulation Setup: Produce a large-scale e-Health network with various medical sensors, devices, and users.
     • Protocols: Execute scalable protocols such as CoAP (Constrained Application Protocol) and MQTT-SN (MQTT for Sensor Networks).
     • Metrics: Evaluate network performance metrics like latency, throughput, and packet loss as the network scales.
     • Tools: Utilize ns3 for IoT and large-scale network simulation tools.
7. Mobile Health (mHealth) Application Performance:
   • Objective: Evaluate the performance of mHealth applications in various network environments.
   • Description:
     • Simulation Setup: To mimic a mobile health application where patient data is sent to healthcare providers through cellular networks.
     • Protocols: Execute communication protocols like LTE and 5G.
     • Metrics: Assessed latency, data integrity, and network coverage in urban and rural scenarios.
     • Tools: Use ns3 for LTE/NR modules and mobility models.
8. Delay-Tolerant Networking for Remote Healthcare:
   • Objective: The performance of delay-tolerant networking (DTN) protocols for healthcare applications in remote areas has been investigated.
   • Description:
     • Simulation Setup: To mimic a network where medical data is transmitted intermittently due to connectivity challenges.
     • Protocols: Execute DTN protocols such as Bundle Protocol (BP) and Epidemic Routing.
     • Metrics: Assessed data delivery success rate, latency, and buffer occupancy.
     • Tools: use ns3 for DTN modules and mobility models.

Overall, we had clearly offered the detailed description to execute the numerous E-health projects samples were given above that were evaluated in ns3 implementation framework. We also further provide the detailed information that related to E-health network.