Opportunistic Routing

Opportunistic routing leverages the unpredictable nature of wireless networks to establish communication paths, aiming for reliable data transmission even with intermittent connectivity. Current research focuses on improving path selection through advanced algorithms like multi-armed bandits and deep reinforcement learning, often incorporating context-aware mechanisms to optimize routing decisions based on factors such as link quality and node mobility. This approach is crucial for applications like multi-robot collaboration and federated learning in resource-constrained environments, enabling efficient data exchange and distributed computation without relying on fixed infrastructure.