Routing protocols play a critical role in Mobile Ad-Hoc Networks (MANETs) by establishing efficient routes between source and destination nodes, ensuring timely data dissemination and transfer. These protocols adaptively map recipient addresses to current network locations through a Locator Service, utilizing single-hop transmission services for reliable end-to-end delivery. Key characteristics include minimal control overhead, loop prevention, topology management, scalability, and support for security and Quality of Service parameters. Fisheye State Routing (FSR), widely adopted in Wireless Sensor Networks (WSNs) and Unmanned Aerial Vehicles (UAVs), optimizes data delivery in various environments. The integration of FSR with mobile robots improves navigation and communication in dynamic environments, enhancing collaboration and task coordination in disaster response and industrial automation. FSR’s efficient management of update messages, employing the fisheye technique to adjust coverage levels based on network size, mitigates bandwidth impact while maintaining routing accuracy. This study investigates FSR’s advantages, emphasizing simplicity, resilience to host mobility, and efficient route updates. Performance metrics including packet delivery rate, network control overhead, throughput, and end-to-end delay are evaluated in grid environments. FSR demonstrates robust performance under various Quality of Service constraints, validating its effectiveness through NS2 simulations with high packet delivery rates and optimized throughput management.