1. Simulator Capsule
We implemented Ariwheels in the Omnet++ simulator, coding the overlay part and exploiting the existing wireless underlay network modules.  In the underlay we used IEEE 802.11 at the MAC layer and the DYMO routing protocol (an AODV-like reactive routing protocol. We tested the performance of Ariwheels in a vehicular environment. We used a realistic mobility model generated by VanetMobiSim, whose ouput (mobility traces) was fed to the Omnet++ simulator.  Vehicles travel in a 1-km-wide city section over a set of urban roads, which include several road intersections regulated by traffic lights or stop signs.  In particular, we adopt the IDM-IM microscopic car-following model, which allows us to reproduce real-world traffic dynamics as queues of vehicles decelerating and/or coming to a full stop near crowded intersections. Vehicles enter the city section from one of the border entry/exit points, randomly choose another border entry/exit point as their destination, compute the fastest path to it and then cross the city section accordingly. A vehicle entering the topology is assigned a maximum speed of 10 m/s, that it tries to reach and maintain, as long as traffic conditions and road signs allow it to. When a vehicle reaches its destination, it stops for a random amount of time, uniformly distributed between 0 and 60~s, then it re-enters the city section. The simulated city topology featured 7 bus stops with access points s, each corresponding to a Broker. Furthermore, 3 buses acting as mobile Brokers weave their own routes across the topology, among a population of as many as 85 vehicles acting as mobile Agents. Each bus carries 10 passengers equipped with mobile Agent capabilities, and it associates to the Broker with the smallest colony at the time of departure from the bus station.