Vehicular NDN Projects examples using omnet++

Vehicular Named Data Networking (VNDN) is a developing research area in which the Named Data Networking (NDN) ethics are implemented to Vehicular Ad-Hoc Networks (VANETs). In VNDN, data is requested and distributed based on content names rather than traditional IP addresses where can enhance the effectiveness and rigidity of data distribution in vehicular networks. The following are the some of the projects examples that relates to the Vehicular NDN using OMNeT++:

Content Caching Strategies in Vehicular NDN

Description: Examine content caching approaches in VNDN to minimize the latency and enhance the data delivery efficiency in vehicular networks.

Key Features:

Execution of caching techniques like Least Recently Used (LRU), Least Frequently Used (LFU), and cooperative caching approaches.
Mimic of urban and highway scenarios with changing vehicle densities and mobility patterns.
The key parameters such as cache hit ratio, data retrieval latency, and network bandwidth usage.

Tools & Frameworks:

NDNSim (NDN Simulator) with INET Extensions: Use NDNSim to incorporate with INET to emulate the caching methods in a vehicular NDN environment.

Routing and Forwarding in Vehicular NDN

Description: Discover and compare various routing and forwarding plans in VNDN to optimize the data delivery in highly mobile vehicular networks.

Key Features:

Execution of VNDN-specific routing protocols like Interest-based forwarding, geographic forwarding, and opportunistic forwarding.
To emulate scenarios with change the vehicle speeds, traffic conditions, and road network topologies.
The analysis of performance in terms of packet delivery ratio, end-to-end delay, and routing overhead.

Tools & Frameworks:

NDNSim with Custom Routing Modules: Build and assess numerous routing protocols personalized for VNDN.

Data Dissemination in Emergency Scenarios Using VNDN

Description: Examine the use of VNDN for effective data dissemination in emergency scenarios like traffic accidents or natural disasters.

Key Features:

Execution of data dissemination protocols enhanced for emergency information sharing concentrates on fast and reliable content distribution.
To mimic of emergency scenarios with changing levels of network connectivity, vehicle density, and data urgency.
The metrics like data dissemination speed, reliability, and network resilience.

Tools & Frameworks:

NDNSim with Emergency Communication Extensions: build and emulate VNDN protocols personalized for emergency communication in vehicular networks.

Security and Privacy in Vehicular NDN

Description: Discover security and privacy difficulties in VNDN that concentrates on securing the content integrity; make sure the data authenticity, and preserving user privacy.

Key Features:

Execution of security mechanisms like content encryption, signature verification, and privacy-preserving techniques.
To mimic the attack scenarios that has content spoofing, data tampering, and unauthorized access.
Performance metrics in terms of security effectiveness, computational overhead, and effects on communication latency.

Tools & Frameworks:

NDNSim with Security Modules: Improve and mimic security protocols for VNDN to measure their effect on network performance and security.

Interest Aggregation and Content Prioritization in VNDN

Description: Examine interest aggregation and content prioritization approaches in VNDN to enhance the data flow and minimize the network congestion.

Key Features:

Execution of interest aggregation mechanisms that group similar content requests to minimize the redundant transmissions.
To emulate of scenarios with changing traffic patterns, content popularity, and network loads.
The analysis of key metrics such as bandwidth efficiency, content delivery success rate, and network congestion levels.

Tools & Frameworks:

NDNSim with Custom Aggregation Modules: Build and mimic the interest aggregation and content prioritization techniques in VNDN.

Mobility Management in Vehicular NDN

Description: Discover the mobility management approaches in VNDN to supports the seamless content delivery as vehicles move via the network.

Key Features:

Execution of mobility-aware forwarding plans that adjusts to changes in vehicle speed, direction, and network topology.
To emulate of urban and highway scenarios with changing levels of mobility, road infrastructure, and traffic conditions.
Performance evaluation in terms of handover latency, packet loss, and those effects on content delivery continuity.

Tools & Frameworks:

NDNSim with Mobility Extensions: Ape mobility management methods in VNDN to assess their efficiency in dynamic environments.

Vehicular NDN for Smart Cities

Description: Examine the application of VNDN in smart city scenarios in which the vehicles act as data collectors and disseminators for numerous city services.

Key Features:

Execution of communication protocols that enhanced for smart city applications, that concentrates on real-time data collection and dissemination.
To emulate of smart city scenarios with large numbers of associated vehicles and IoT devices.
Performance assess in terms of data collection accuracy, network scalability, and energy efficiency.

Tools & Frameworks:

NDNSim with Smart City Extensions: Improve and emulate VNDN protocols for smart city applications.

Load Balancing in Vehicular NDN

Description: Examine load balancing methods in VNDN to evenly allocate traffic and avoid the network bottlenecks.

Key Features:

Execution of load balancing techniques that enthusiastically adapts to resource allocation and data forwarding paths based on real-time network conditions.
Mimic scenarios with changing traffic patterns, content popularity, and vehicle densities.
The key parameters such as resource utilization, network stability, and communication efficiency.

Tools & Frameworks:

NDNSim with Load Balancing Extensions: Improve and emulate the load balancing approaches in VNDN.

Energy-Efficient Communication in Vehicular NDN

Description: Discover energy-efficient communication approaches in VNDN to expand the operational lifetime of on-board devices while maintaining the efficient communication.

Key Features:

Execution of energy-saving approaches like adaptive transmission power control, duty cycling, and energy-aware routing.
Emulate scenarios with changing energy constraints, vehicle speeds, and communication demands.
The analysis of performance based on the metrics like energy consumption, network lifetime, and data delivery reliability.

Tools & Frameworks:

NDNSim with Energy Modules: Improve and mimic energy-efficient communication aproaches for VNDN.

Vehicular NDN for Autonomous Vehicles

Description: Examine the use of VNDN in autonomous vehicles to support real-time data trade-off for navigation, collision avoidance, and traffic management.

Key Features:

Execution of communication protocols that enhanced for low-latency, high-reliability data exchange among the autonomous vehicles.
To emulate of scenarios with changing levels of autonomy, traffic density, and road conditions.
The Analysis of performance metrics such as data delivery speed, communication reliability, and effect on vehicle safety.

Tools & Frameworks:

NDNSim with Autonomous Vehicle Extensions: Improve and mimic VNDN protocols for autonomous vehicle communication.

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