An OMNeT++ based Framework for Mobility-aware Routing in Mobile Robotic Networks
This addresses communication reliability issues in mobile robotic networks, though it appears incremental as an extension of existing frameworks.
The authors tackled the problem of unreliable communication in mobile robotic networks by developing a mobility-aware routing framework that uses mobility predictions to optimize routing decisions, achieving significant improvements to communication path robustness in their evaluation.
In this paper, we propose a cross-layer extension for the INETMANET framework of OMNeT++, which utilizes mobility control knowledge to enhance the forwarding of routing messages. The well-known mobility meta-model from Reynolds is used to provide a realistic representation of the mobility behavior of autonomous agents with respect to the various influences those agents have to face in real-world applications. Knowledge about the current mobility properties and its predicted development is used by mobility-aware routing mechanisms in order to optimize routing decisions and avoid path losses at runtime. In a proof of concept evaluation, we show that our proposed methods can achieve significant improvements to the robustness of communication paths.