How to Simulate E-Health Networks Projects Using NS2

To simulate E-Health Networks within NS2, which encompasses configuring a network that models the communication among medical devices, patients, healthcare providers, and data centers. These networks need high reliability, low latency, and frequently prioritize real-time communication and data privacy, creating them a single challenge such as simulation. Here’s a basic approach on how we can simulate an E-Health Network project using NS2:

Steps to Simulate E-Health Networks Projects in NS2

  1. Install NS2

Make certain that NS2 is properly installed on the machine. We can install it using the below command if it’s not already installed:

sudo apt-get install ns2

  1. Define E-Health Network Components

In an E-Health network, the normal modules contain:

  • Medical Sensors/Devices: Sensors that observe patients’ vital signs (e.g., heart rate, glucose level sensors).
  • Healthcare Providers: Doctors and nurses are accessing the data.
  • Data Centers/Cloud Servers: Centralized locations in which patient data is stored and processed.
  • Patients’ Mobile Devices: Devices that relay data from sensors to the healthcare provider or data center.
  1. TCL Script for E-Health Network Simulation

3.1 Define Nodes

Describe nodes for the distinct elements within the network: sensors, healthcare providers, data centers, and mobile devices.

# Initialize simulator

set ns [new Simulator]

# Open trace and NAM files

set tracefile [open “ehealth_network.tr” w]

$ns trace-all $tracefile

set namfile [open “ehealth_network.nam” w]

$ns namtrace-all $namfile

# Define simulation parameters

set val(chan) Channel/WirelessChannel    ;# Wireless channel for mobile health monitoring

set val(prop) Propagation/TwoRayGround   ;# Propagation model

set val(netif) Phy/WirelessPhy           ;# Network interface

set val(mac) Mac/802_11                  ;# MAC protocol

set val(ifq) Queue/DropTail/PriQueue     ;# Interface queue

set val(ll) LL                           ;# Link layer

set val(ant) Antenna/OmniAntenna         ;# Antenna model

set val(ifqlen) 50                       ;# Interface queue length

set val(rp) AODV                         ;# Routing protocol

# Configure nodes for medical devices, patients, and healthcare centers

$ns node-config -adhocRouting $val(rp) \

-llType $val(ll) \

-macType $val(mac) \

-ifqType $val(ifq) \

-ifqLen $val(ifqlen) \

-antType $val(ant) \

-propType $val(prop) \

-phyType $val(netif) \

-channelType $val(chan)

# Create nodes for medical sensors, healthcare provider, and data center

set sensor1 [$ns node]    ;# Medical Sensor 1

set sensor2 [$ns node]    ;# Medical Sensor 2

set mobile_device [$ns node]    ;# Patient’s Mobile Device

set healthcare_provider [$ns node]    ;# Healthcare provider’s device

set data_center [$ns node]    ;# Data Center for storing patient data

# Set node positions (X, Y, Z)

$sensor1 set X_ 50

$sensor1 set Y_ 100

$sensor1 set Z_ 0.0

$sensor2 set X_ 60

$sensor2 set Y_ 100

$sensor2 set Z_ 0.0

$mobile_device set X_ 70

$mobile_device set Y_ 110

$mobile_device set Z_ 0.0

$healthcare_provider set X_ 100

$healthcare_provider set Y_ 120

$healthcare_provider set Z_ 0.0

$data_center set X_ 200

$data_center set Y_ 200

$data_center set Z_ 0.0

3.2 Define Mobility for Mobile Devices

Because E-Health Networks may contain mobile components (like a patient’s mobile device), we can set up a mobility model to replicate realistic movement.

# Define mobility for the mobile device

$ns at 5.0 “$mobile_device setdest 150 150 10.0”

3.3 Establish Connections

Next, establish connections among the sensors, healthcare providers, and the data center. We can be used TCP for reliable data transfer.

# Define a TCP agent and traffic source for sensor-to-mobile communication

set tcp_sensor1 [new Agent/TCP]

$ns attach-agent $sensor1 $tcp_sensor1

set traffic_sensor1 [new Application/Traffic/CBR]

$traffic_sensor1 attach-agent $tcp_sensor1

$traffic_sensor1 set packetSize_ 512

$traffic_sensor1 set interval_ 0.01

# Attach sink agent at the mobile device

set sink_mobile [new Agent/TCPSink]

$ns attach-agent $mobile_device $sink_mobile

# Connect the sensor to the mobile device

$ns connect $tcp_sensor1 $sink_mobile

# Set up TCP communication between the mobile device and the data center

set tcp_mobile [new Agent/TCP]

$ns attach-agent $mobile_device $tcp_mobile

set sink_data_center [new Agent/TCPSink]

$ns attach-agent $data_center $sink_data_center

$ns connect $tcp_mobile $sink_data_center

3.4 Set Up Communication to Healthcare Provider

We can configure same communication patterns among the healthcare provider and data center.

# Communication between healthcare provider and data center

set tcp_healthcare [new Agent/TCP]

$ns attach-agent $healthcare_provider $tcp_healthcare

set sink_data_center_2 [new Agent/TCPSink]

$ns attach-agent $data_center $sink_data_center_2

$ns connect $tcp_healthcare $sink_data_center_2

  1. Define Traffic Patterns

E-Health networks frequently require to send constant streams of medical data from sensors. We can be used constant bit rate (CBR) traffic for this purpose.

# Start traffic at sensor node

$ns at 1.0 “$traffic_sensor1 start”

  1. Set Up Security or Reliability Protocols

For an E-Health network, security and reliability are crucial. We can replicate security attacks such as eavesdropping or jamming by handling packet drops or inserting malicious nodes. Otherwise, we can insert encryption layers at the application level (though NS2 doesn’t natively support encryption, we can simulate its effects).

  1. Simulation End and Run

Describe the end of the simulation and execute it.

# Schedule simulation end

$ns at 100.0 “finish”

# Define the finish procedure

proc finish {} {

global ns tracefile namfile

close $tracefile

close $namfile

$ns halt

}

# Run the simulation

$ns run

  1. Visualize the Simulation

We can envision the simulation using NAM (Network Animator). After running the TCL script:

nam ehealth_network.nam

  1. Analyse Results

The trace file ehealth_network.tr will involve significant informations such as throughput, latency, packet loss, and delivery success that are vital for examining the performance of the E-Health network.

We can utilize AWK or Python scripts to process the trace files and compute significant performance parameters like:

  • Packet Delivery Ratio (PDR)
  • End-to-End Delay
  • Throughput
  • Energy Consumption
  1. Extensions for Advanced Features
  • Real-Time Data Transmission: We can execute traffic prioritization to replicate emergency health data needing real-time transmission.
  • Network Failure Simulation: Replicate network failures and recovery techniques to measure the reliability of the E-Health system.
  • Cloud-Edge Integration: Prolong the simulation to contain cloud and edge computing nodes to manage data processing at distinct layers of the network.

We explicated the simplified methodology with sample snippets are helps to know more about how to simulate and analyse the E-Health Networks projects using NS2 tool. If you have any doubt on this projects, we will definitely clarify it too.

For those seeking customized topics related to E-Health Networks Projects, we are here to provide exceptional support. Share your research details with us, and the developers at phdprime.com will offer you E-Health Networks simulation results using the ns2 tool, along with complete network performance analysis.

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