Network Routing Projects Examples Using NS2

Network Routing projects examples using ns2, which explore numerous routing protocols, performance optimization, security, and fault tolerance in several network environments like ad-hoc, sensor, and mobile networks. Get in touch with ns2project.com to receive the greatest thesis ideas and writing assistance. One of the hardest things for academics to do is choose a solid topic for a PhD thesis. If you need help, get in touch with us, and we’ll provide you the greatest project outcomes.

Performance Comparison of Routing Protocols in Ad-hoc Networks

Project Focus: Compare and replicate the performance of ad-hoc routing protocols like AODV (Ad-hoc On-Demand Distance Vector), DSR (Dynamic Source Routing), and DSDV (Destination-Sequenced Distance-Vector).
Objective: Examine how these protocols are act such as packet delivery, latency, and routing overhead under various network conditions (e.g., mobility, network size).
Metrics: Packet delivery ratio, end-to-end delay, routing overhead, and throughput.

Energy-Efficient Routing in Wireless Sensor Networks (WSNs)

Project Focus: Execute the energy-efficient routing protocols such as LEACH (Low-Energy Adaptive Clustering Hierarchy) to reduce an energy consumption and expand the network lifetime.
Objective: Understand how clustering-based routing protocols are minimize energy usage in sensor nodes and improve the network lifetime.
Metrics: Energy consumption, network lifetime, packet delivery ratio, and routing overhead.

Multi-Path Routing in Mobile Ad-hoc Networks (MANETs)

Project Focus: Replicate multi-path routing protocols like AOMDV (Ad hoc On-demand Multipath Distance Vector) to enhance the fault tolerance and load balancing within MANETs.
Objective: Examine how multi-path routing improves the network reliability and make sure continuous data transmission in the existence of node failures.
Metrics: Packet delivery ratio, delay, routing overhead, and network resilience.

QoS-Aware Routing in Wireless Networks

Project Focus: Mimic QoS-aware routing protocols to prioritize real-time applications like video streaming and VoIP in wireless networks.
Objective: Concentrate on how QoS routing mechanisms make certain low latency, jitter, and high throughput for time-sensitive applications.
Metrics: Latency, jitter, packet loss, throughput, and bandwidth utilization.

Routing in Vehicular Ad-hoc Networks (VANETs)

Project Focus: Execute and replicate the routing protocols such as GPSR (Greedy Perimeter Stateless Routing) or AODV in VANETs to assist the vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication.
Objective: Investigate the behaviour of routing protocols within high-mobility environments like urban traffic scenarios.
Metrics: Packet delivery ratio, delay, route discovery time, and network connectivity.

Security-Aware Routing in Wireless Networks

Project Focus: Execute secure routing protocols, which use encryption and authentication to avoid the attacks like black hole or wormhole attacks in wireless networks.
Objective: Learn the trade-offs among the security and performance in routing protocols and then how they defend the network from malicious nodes.
Metrics: Encryption overhead, packet delivery ratio, delay, and attack detection rate.

Routing in Delay-Tolerant Networks (DTNs)

Project Focus: Replicate routing protocols such as Epidemic Routing and Spray and Wait in delay-tolerant networks that nodes are experience intermittent connectivity.
Objective: Focus on how DTN routing protocols are manage the long delays and disruptions in communication by depending on store-and-forward techniques.
Metrics: Message delivery ratio, delay, buffer occupancy, and network overhead.

Load Balancing with Multi-Path Routing

Project Focus: Execute multi-path routing to balance the network traffic over several ways, and minimizing congestion then enhancing overall performance.
Objective: Analyse how multi-path routing avoids the congestion, maximize throughput, and then enhances the resource utilization in wireless networks.
Metrics: Load distribution, throughput, packet delivery ratio, and delay.

Cluster-Based Routing in Wireless Sensor Networks

Project Focus: Replicate the cluster-based routing protocols like LEACH or PEGASIS that sensor nodes are grouped into clusters, and a cluster head is responsible for routing data to the sink.
Objective: Investigate the effectiveness of cluster-based routing such as scalability, energy conservation, and network lifetime.
Metrics: Energy consumption, packet delivery ratio, cluster formation time, and network lifetime.

Mobility-Aware Routing in MANETs

Project Focus: Mimic a mobility-aware routing protocols, which alter to modify in the network topology because of the node mobility.
Objective: Examine how these routing protocols are maintain connectivity and make certain that reliable data transmission in highly dynamic environments.
Metrics: Packet delivery ratio, route stability, end-to-end delay, and routing overhead.

Hierarchical Routing in Wireless Sensor Networks

Project Focus: Execute the hierarchical routing protocols that sensor nodes are structured into layers to enhance the routing scalability and efficiency.
Objective: Learn how hierarchical routing minimize the routing overhead and enhances the energy efficiency in large-scale WSNs.
Metrics: Routing overhead, energy consumption, packet delivery ratio, and network lifetime.

Routing in Underwater Wireless Sensor Networks (UWSNs)

Project Focus: Replicate the routing protocols for UWSNs that communication is influenced by high latency, limited bandwidth, and signal attenuation within underwater environments.
Objective: Evaluate the performance of routing protocols like VBF (Vector-Based Forwarding) or DSR in the underwater situations.
Metrics: Packet delivery ratio, delay, energy consumption, and communication reliability.

Geographic Routing in Wireless Networks

Project Focus: Execute the geographic routing protocols in which data is routed rely on the geographical position of nodes.
Objective: Estimate how geographic routing protocols like GPSR (Greedy Perimeter Stateless Routing) enhance the routing efficiency in large wireless networks.
Metrics: Packet delivery ratio, route discovery time, delay, and routing overhead.

Energy Harvesting Aware Routing in Wireless Sensor Networks

Project Focus: Replicate routing protocols are created for energy-harvesting sensor nodes, which gather energy from external sources (e.g., solar, wind).
Objective: Evaluate how routing protocols adjust to differing the energy levels and enhance an energy usage to prolong the network lifetime.
Metrics: Energy harvested, network lifetime, packet delivery ratio, and delay.

Fault-Tolerant Routing in Wireless Networks

Project Focus: Execute the fault-tolerant routing protocols, which make sure continuous data transmission even in the event of node or link failures.
Objective: Study how these protocols improve network resilience and reliability within challenging network environments.
Metrics: Packet delivery ratio, fault recovery time, network connectivity, and delay.

Time-Sensitive Routing in Industrial Wireless Networks

Project Focus: Imitate time-sensitive routing protocols are created for industrial applications that low latency and high reliability are crucial.
Objective: Examine how time-sensitive networking (TSN) protocols make certain that timely data delivery for industrial automation and control systems.
Metrics: Latency, packet delivery ratio, jitter, and throughput.

Routing in Cognitive Radio Networks (CRNs)

Project Focus: Replicate routing protocols for cognitive radio networks in which nodes are actively access the spectrum and switch frequencies according to the spectrum availability.
Objective: Investigate how CRN routing protocols are enhance the spectrum usage and make certain that reliable communication despite spectrum changes.
Metrics: Spectrum utilization, packet delivery ratio, delay, and route discovery time.

Routing in Satellite Networks

Project Focus: Mimic routing protocols for satellite networks in which nodes (satellites) are in constant motion, leading to dynamic network topologies.
Objective: Analyse how satellite routing protocols make certain the continuous communication despite frequent link changes because of the satellite mobility.
Metrics: Packet delivery ratio, delay, route stability, and handover success rate.

Hybrid Routing Protocols for Smart Grids

Project Focus: Replicate the hybrid routing protocols for smart grids in which data from smart meters and energy management devices is sent to utility providers.
Objective: Concentrate on how hybrid routing protocols (combining proactive and reactive approaches) are enhance the data transmission and make certain that network scalability in smart grids.
Metrics: Packet delivery ratio, latency, routing overhead, and network scalability.

Load-Aware Routing in Wireless Mesh Networks

Project Focus: Execute the load-aware routing protocols within wireless mesh networks that nodes are route data rely on network load and link quality.
Objective: Examine how load-aware routing avoids the network congestion and enhances resource usage in dense mesh networks.
Metrics: Load distribution, throughput, delay, and packet delivery ratio.

Thoroughly, we had explained the sufficient demonstration on how to approach the Network routing projects using some instances that were executed using the virtual environment NS2. Likewise, we will be presented more examples in various manual, if required