How to Simulate Named Data Networking Projects OMNeT++

To simulate Named Data Networking (NDN) projects using OMNeT++ has needs to include operating with certain libraries and frameworks intended for Information-Centric Networking (ICN) architectures, like NDN. One of the key frameworks utilized for this purpose is NDNSim that is an NDN simulator built on top of OMNeT++.

Here’s a step-by-step guide to simulate NDN projects using OMNeT++ and NDNSim:

Steps to Simulate Named Data Networking Projects in OMNeT++

  1. Install OMNeT++ and NDNSim
  • OMNeT++: Make sure OMNeT++ is installed.
  • NDNSim: NDNSim is a specific extension of OMNeT++ intended for NDN simulations. It delivers modules and tools for replicating NDN protocols and applications.
  1. Understand NDN Concepts

Before starting, understand yourself with the key NDN concepts:

  • Content Names: Rather than concentrates on the location of data (IP addresses), NDN uses hierarchical names for content.
  • Interest Packets: Consumers request content by sending Interest packets.
  • Data Packets: Producers respond with Data packets that fits the name in the Interest.
  • Forwarding and Caching: Routers in NDN store content in caches, and the routing process is according to content names.
  1. Set up the Simulation Environment

After installing OMNeT++ and NDNSim, configure the simulation environment for NDN by setting up the network topology, describing the behaviour of nodes, and specifying the NDN forwarding mechanisms.

  1. Create the NED File for Network Topology

Describe network topology using NED (Network Description) files, has involves NDN routers and end nodes (producers and consumers). Here’s an instance NED file for a simple NDN topology:

network NDNTopology

{

submodules:

producer: Node;

consumer: Node;

router1: NdnRouter;

router2: NdnRouter;

connections:

consumer.pppg++ <–> router1.pppg++;

router1.pppg++ <–> router2.pppg++;

router2.pppg++ <–> producer.pppg++;

}

  • Node: Denotes the consumer (requester) and producer (content provider).
  • NdnRouter: Signify an NDN-enabled router that manages forwarding and caching.
  1. Implement Interest and Data Packet Handling

In NDN, the key operations are Interest packet forwarding and Data packet retrieval. These processes can be replicated using NDNSim modules.

Describe the behaviour of the consumer, producer, and routers:

  • Consumer: Sends Interest packets to request data.
  • Producer: Responds with Data packets when an Interest packet suited content.
  • Router: Forwards Interest packets, caches Data packets, and serves Data from its cache if available.

We can generate or prolong modules in C++ to execute certain behaviours for forwarding and caching, or we can utilize the built-in NDNSim modules.

  1. Configure Simulation Parameters in the INI File

The .ini file specifies simulation parameters that contain node behaviours, routing protocols, and caching policies. Here’s an instance configuration file:

network = NDNTopology

sim-time-limit = 1000s

# Consumer behavior

*.consumer.requestRate = 10pps     # Requests per second

*.consumer.prefix = “/data”

# Producer behavior

*.producer.prefix = “/data”

*.producer.contentSize = 100KB     # Size of content in KB

# Router caching and forwarding

*.router*.cacheSize = 10MB

*.router*.forwardingStrategy = “bestRoute”

  • requestRate: Describes how frequently the consumer sends Interest packets.
  • prefix: Specifies the name prefix for the requested data.
  • cacheSize: Sets the cache size for NDN routers.
  • forwardingStrategy: Specifies the forwarding strategy utilized by NDN routers such as “bestRoute” or “multicast”.
  1. Use Forwarding Strategies

NDN forwarding approaches are necessary for determining how routers forward Interest packets. Some common approaches that contain:

  • Best Route: Forwards the Interest to the best route available.
  • Multicast: Forwards the Interest to all available routes.
  • Adaptive Forwarding: Adjust forwarding decisions in terms of network conditions and past experiences.

We can setting up the forwarding strategy in the .ini file or customize it by prolonging the NDNSim forwarding module in C++.

  1. Run the Simulation
  • Build the project: In OMNeT++, build your NDNSim project by selecting Project > Build All.
  • Run the simulation: Implement the simulation from the OMNeT++ IDE by selecting Run Configurations and selecting the network configuration.

During the simulation, consumers will transfer Interest packets, and producers will respond with Data packets. Routers will forward these packets and cache Data for future requests.

  1. Analyse Simulation Results

After executing the simulation, we can measure performance metrics such as:

  • Interest satisfaction rate: Percentage of Interest packets that successfully receive Data packets.
  • Cache hit rate: Number of Data packets served from the router’s cache.
  • Latency: Time taken to retrieve Data packets.
  • Network overhead: Amount of overhead triggered by Interest packet forwarding and Data retrieval.

OMNeT++ delivers scalar and vector outcome files that can be utilized to plot graphs and measure network performance. We can utilize built-in tools such as Plove to envision data, or export the outcomes to external tools such as MATLAB for more advanced analysis.

  1. Advanced NDN Scenarios

Consider simulating more complex scenarios for advanced NDN projects:

  • In-network Caching Strategies: Execute and relate different caching techniques such as Least Recently Used (LRU), Least Frequently Used (LFU), or Cache Replacement.
  • Content Distribution: Replicate content distribution and evaluate the effect of caching on network performance.
  • Security in NDN: Execute security mechanisms like content signature verification or interest packet authentication.
  • Mobile NDN: Mimic mobile NDN nodes (e.g., mobile devices) and learn the effects of mobility on NDN performance.
  • NDN over Wireless Networks: Replicate NDN in wireless environments to learn on how NDN performs in multi-hop wireless scenarios.

Example NDN Project Ideas:

  • Content Caching Strategies: Replicate and measure different caching approaches in an NDN network.
  • NDN in IoT Networks: Mimic NDN-based communication in IoT scenarios, in which sensors generate and consume data.
  • NDN Mobility: Replicate mobile nodes that use NDN for communication and measure the impacts of mobility on data retrieval latency.
  • NDN in Smart City Networks: Implement a smart city scenario in which vehicles and infrastructure interact using NDN for traffic management and data exchange.
  • NDN Security Mechanisms: Execute and replicate security mechanisms for authenticating Interest and Data packets in NDN.

This manual had been walking you through how to simulate and evaluate the outcomes of named data network projects which was implemented using OMNeT++ environment. We also plan to deliver more information regarding the named data networking.

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