# Performance Evaluation and Optimization of B.A.T.M.A.N. V Routing for Aerial and Ground-based Mobile Ad-hoc Networks

## TL;DR

This paper evaluates the B.A.T.M.A.N. V routing protocol for mobile mesh networks, introduces a mobility-predictive extension, and demonstrates its superior performance in highly dynamic aerial and ground scenarios through simulation and field experiments.

## Contribution

It presents a new mobility-predictive extension to B.A.T.M.A.N. V and provides an open source simulation model validated by real-world experiments.

## Key findings

- Predictive B.A.T.M.A.N. V outperforms established protocols in highly mobile scenarios.
- The open source simulation model enables large-scale analysis.
- Field experiments confirm the simulation results.

## Abstract

The provision of reliable and efficient end-to-end communication within ground- and air-based mobile mesh networks is a major challenge for routing protocols due to the mobility-related dynamics of the channel properties and the resulting mesh network topology. In this paper, we evaluate the performance of the novel Better Approach To Mobile Adhoc Networking (B.A.T.M.A.N.) V routing protocol for vehicular mesh networks and propose a mobility-predictive extension that explicitly addresses highly dynamic communication networks. In order to enable large-scale simulative analysis, we present an open source simulation model, which is validated by field experiments. Within a comprehensive evaluation campaign in Vehicle-to-Everything (V2X) and Unmanned Aerial Vehicle (UAV) scenarios, it is shown that the predictive B.A.T.M.A.N. V-based approach is significantly better suited for maintaining reliable connectivity within highly mobile mesh networks than established routing protocols.