Fisheye State Routing (FSR) protocol using OMNeT++ tool are the given below project examples for scholars , we have all the research methodologies to get your work done on time and in high quality:
Performance Analysis of Fisheye State Routing (FSR) in MANETs:
To execute the FSR protocol using OMNeT++ in a Mobile Ad-Hoc Network (MANET). We can examine the protocol’s performance such as packet delivery ratio, end-to-end delay, and routing overhead under various network topologies and node densities.
Comparison of FSR with Other Link-State Routing Protocols:
To mimic the FSR alongside other link-state routing protocols such as OLSR (Optimized Link State Routing) and we compare their performance in numerous scenarios. We are focussing on the metrics like routing overhead, convergence time, and scalability in networks with various sizes and mobility patterns.
Energy-Efficient FSR in Wireless Sensor Networks (WSNs):
To execute an energy-efficient version of FSR in a wireless sensor network. We can focus on minimizing energy consumption by optimizing the frequency of state updates or using hierarchical clustering. We estimate the impact on network lifetime and overall data delivery efficiency.
FSR in a Large-Scale MANET:
To mimic a large-scale MANET using the FSR protocol to learn its scalability. We can estimate how the protocol manages increasing numbers of nodes and traffic volume, focusing on routing table size, update frequency, and overall network performance.
FSR with Enhanced Update Mechanisms:
Now, we improve an enhanced version of FSR with optimized update mechanisms, like adaptive update intervals or region-based update approaches. To calculate the protocol and compare its performance with the standard FSR such as routing efficiency, overhead, and network stability.
FSR in a Multi-Hop Wireless Network:
To execute the FSR in a multi-hop wireless network and we assess its performance in scenarios with changing hop counts and network diameters. To investigate how the protocol handles routing information propagation over several hops and its impact on latency and packet loss.
FSR for Disaster Recovery Networks:
We can use the FSR in a disaster recovery network where nodes are set up in an unpredictable and highly dynamic environment. To emulate the scenarios where the network topology varies often and measure how FSR maintains connectivity and reliable communication.
Security-Enhanced FSR Protocol:
We consider potential security vulnerabilities in FSR, like routing information tampering or false updates. To execute the security enhancements such as authentication and encryption for routing updates and we calculate their impact on protocol performance and network security.
FSR with QoS (Quality of Service) Support:
To execute the QoS-aware routing in FSR to prioritize particular kinds of traffic, like real-time video or voice communication. Mimic scenarios with mixed traffic types and we measure how FSR can maintain QoS guarantees even though minimizing routing overhead.
FSR in Hybrid Networks:
To mimic the FSR in hybrid network environment where both stationary and mobile nodes coexist. We investigate how FSR adjusts to various node behaviours and its impact on routing efficiency and network performance.
Overall, we had comprehensively described sample instance projects regarding Fisheye Protocol which are implemented and analysed in OMNeT++. We will be offered entire examples if needed.