How to Simulate Location Based Networks Projects Using NS2

To simulate Location-Based Networks in NS2 has needs to configure nodes that communicate according to their geographical positions. Location-Based Networks (LBNs) are usual in applications such as GPS-based services, mobile ad-hoc networks (MANETs), and location-aware services in which communication and decision-making relay on the physical location of devices.

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Here’s a step-by-step guide to simulating Location-Based Networks using NS2:

Steps to Simulate Location Based Networks Projects in NS2

  1. Install NS2

Make sure that NS2 is installed on the system. If not, you can install it using the following command:

sudo apt-get install ns2

  1. Key Components in Location-Based Networks
  • Mobile Nodes: Devices or vehicles that move via the simulation area.
  • Location-Aware Communication: Communication among nodes is caused by their location. For instance, nodes closer to each other have stronger connections.
  • Routing Protocols: Utilize location-based routing protocols such as Geographic Routing or Location-Aided Routing (LAR) to enhance communication according to node positions.
  • Mobility Models: Describe movement patterns for nodes, like random waypoint, for dynamic network topologies.
  1. Design the Network Topology

In a Location-Based Network, each node is signified as a mobile node. The node’s position plays a key role in defining communication paths.

Example Topology:

  • Mobile Nodes: Each node moves in a predefined area.
  • Fixed Node (Optional): Central node or base station used for specific location services.
  • Communication Links: Wireless links among nodes that alter in strength based on location.
  1. TCL Script for Location-Based Network Simulation

4.1 Define Nodes and Mobility

Generate mobile nodes and configures a mobility model to replicate movement across the network area.

# Create a simulator object

set ns [new Simulator]

# Open trace and NAM files

set tracefile [open “location_based_network.tr” w]

$ns trace-all $tracefile

set namfile [open “location_based_network.nam” w]

$ns namtrace-all $namfile

# Define simulation parameters

set val(chan) Channel/WirelessChannel   ;# Wireless channel for communication

set val(prop) Propagation/TwoRayGround  ;# Propagation model for wireless communication

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

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

set val(ifqlen) 50                      ;# Queue length

set val(ll) LL                          ;# Link layer

set val(ant) Antenna/OmniAntenna        ;# Omni-directional antenna

set val(rp) LAR                         ;# Location-Aided Routing protocol

# Node configuration for location-based network

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

-llType $val(ll) \

-macType $val(mac) \

-ifqType $val(ifq) \

-ifqLen $val(ifqlen) \

-antType $val(ant) \

-propType $val(prop) \

-channelType $val(chan)

# Create mobile nodes

set node1 [$ns node]

set node2 [$ns node]

set node3 [$ns node]

set node4 [$ns node]

# Set initial positions for nodes

$node1 set X_ 50

$node1 set Y_ 100

$node1 set Z_ 0.0

$node2 set X_ 100

$node2 set Y_ 150

$node2 set Z_ 0.0

$node3 set X_ 200

$node3 set Y_ 200

$node3 set Z_ 0.0

$node4 set X_ 300

$node4 set Y_ 250

$node4 set Z_ 0.0

  1. Set up Mobility for Location-Based Communication

In Location-Based Networks, the mobility of nodes plays a vital role. we can describe mobility patterns, like random waypoint or custom paths for location-based decision-making.

# Define mobility for nodes (e.g., random waypoint model)

$ns at 1.0 “$node1 setdest 300 300 20.0”

$ns at 2.0 “$node2 setdest 250 150 15.0”

$ns at 3.0 “$node3 setdest 150 100 10.0”

$ns at 4.0 “$node4 setdest 100 50 12.0”

  1. Set up Communication Links

Describe wireless communication links among nodes. Location-based routing protocols such as LAR utilize node positions to make routing decisions, enhancing communication among nearby nodes.

6.1 Wireless Communication between Nodes

# Communication between nodes (Location-Aided Routing – LAR)

$ns duplex-link $node1 $node2 5Mb 10ms DropTail

$ns duplex-link $node2 $node3 5Mb 10ms DropTail

$ns duplex-link $node3 $node4 5Mb 10ms DropTail

  1. Configure Traffic Patterns

Replicate real-time communication or data exchange among nodes. We can utilize TCP for reliable communication or UDP for real-time data transmission.

7.1 UDP Traffic for Real-Time Data Sharing

# UDP agent for real-time data from node1 to node4

set udp_node1 [new Agent/UDP]

$ns attach-agent $node1 $udp_node1

# UDP sink at node4

set sink_node4 [new Agent/Null]

$ns attach-agent $node4 $sink_node4

# Connect UDP agent to sink

$ns connect $udp_node1 $sink_node4

# Define application traffic for real-time data sharing

set app_node1 [new Application/Traffic/CBR]

$app_node1 attach-agent $udp_node1

$app_node1 set packetSize_ 512

$app_node1 set interval_ 0.05

$ns at 1.5 “$app_node1 start”

  1. Run the Simulation

Once the nodes, mobility, and communication links are set, execute the simulation to monitor how nodes interact according to their locations.

ns location_based_network.tcl

  1. Visualize the Simulation

Utilize NAM (Network Animator) to envision the movement and communication of nodes according to their locations.

nam location_based_network.nam

  1. Analyse Simulation Results

Evaluate the trace file (location_based_network.tr) to assess key parameters such as:

  • End-to-End Delay: The time taken for packets to travel among nodes according to their location.
  • Packet Delivery Ratio (PDR): The percentage of packets successfully delivered between nodes.
  • Throughput: The data transfer rate between nodes.
  • Impact of Node Location: How the physical distance among the nodes impacts communication performance.

We can utilize AWK, Python, or Perl scripts to measure the trace file and extract the relevant parameters.

  1. Optimizing Location-Based Networks

To further enhance the performance of location-based networks, we can:

  • Use Advanced Location-Based Routing Protocols: Discover protocols such as Geographic Routing or GPSR (Greedy Perimeter Stateless Routing) for more efficient location-based routing.
  • Incorporate Obstacles or Barriers: replicate real-world environment in which node movement is prohibited by physical issues.
  • Energy-Efficient Communication: Execute energy-aware protocols that enhance communication according to node location and battery power.

We clearly accumulated the essential details to Location-Based Networks project with example coding that simulated and evaluated using the tool of ns2 analysis tool. Additional specific details regarding the Location-Based Networks will be provided in further manual.

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