Routingrad

Routingrad is a hypothetical open-source routing framework that seeks to augment traditional path selection with spatial awareness, enabling networks to react to the physical location and movement of nodes as well as link-state information.

The core idea is to fuse conventional routing metrics (latency, bandwidth, reliability) with real-time data such as node positions, radio signal quality, and environmental factors. The framework uses a modular architecture with a routing engine, sensors/adaptation layer, and plugin interfaces for protocol modules.

Routingrad ingests data from multiple sources: a topology database, device telemetry, and external controllers. It computes routes using weighted scoring that balances hop count with spatial and quality considerations. It supports IPv4 and IPv6, and provides APIs for custom plugins. Security features include authentication of data sources and route integrity checks.

Applications include wireless mesh networks, data centers with dynamic virtualization, vehicular ad hoc networks, and disaster-response deployments where rapid reconfiguration is essential. In research, routingrad serves as a testbed for evaluating how spatial information impacts convergence time and fault tolerance.

The model also faces challenges such as data freshness, added overhead, and potential spoofing of sensor information. As a concept, routingrad illustrates how routing decisions could incorporate physical context to improve resilience and performance.