B.A.T.M.A.N. protocol concept¶

The problem with classical routing protocols is that they are typically not well suited for wireless ad-hoc networks. This is because such networks are unstructured, dynamically change their topology, and are based on an inherently unreliable medium.

OLSR, the currently most employed protocol for such scenarios, has undergone a number of changes from its original specification in order to deal with the challenges imposed by city-wide wireless mesh networks. While some of its components proved to be unsuitable in practice (like MPR and Hysterese) new mechanisms have been added (like Fish-eye and ETX). However, due to the constant growth of existing community mesh networks and because of the inherent requirement of a link-state algorithm to recalculate the whole topology-graph (a particularly challenging task for the limited capabilities of embedded router HW), the limits of this algorithm have become a challenge. Recalculating the whole topology graph once in an actual mesh with 450 nodes takes several seconds on a small embedded CPU.

The approach of the B.A.T.M.A.N algorithm is to divide the knowledge about the best end-to-end paths between nodes in the mesh to all participating nodes. Each node perceives and maintains only the information about the best next hop towards all other nodes. Thereby the need for a global knowledge about local topology changes becomes unnecessary. Additionally, an event-based but timeless (timeless in the sense that B.A.T.M.A.N never schedules nor timeouts topology information for optimising it’s routing decisions) flooding mechanism prevents the accruement of contradicting topology information (the usual reason for the existence of routing loops) and limits the amount of topology messages flooding the mesh (thus avoiding overly overhead of control-traffic). The algorithm is designed to deal with networks that are based on unreliable links.

The protocol algorithm of B.A.T.M.A.N can be described (simplified) as follows. Each node transmits broadcast messages (we call them originator messages or OGMs) to inform the neighboring nodes about it’s existence. These neighbors are re-broadcasting the OGMs according to specific rules to inform their neighbors about the existence of the original initiator of this message and so on and so forth. Thus the network is flooded with originator messages. OGMs are small, the typical raw packet size is 52 byte including IP and UDP overhead. OGMs contain at least the address of the originator, the address of the node transmitting the packet, a TTL and a sequence number.

OGMs that follow a path where the quality of wireless links is poor or saturated will suffer from packetloss or delay on their way through the mesh. Therefore OGMs that travel on good routes will propagate faster and more reliable.

In order to tell if a OGM has been received once or more than once it contains a sequence number, given by the originator of the OGM. Each node re-broadcasts each received OGM at most once and only those received from the neighbor which has been identified as the currently best next hop (best ranking neighbor) towards the original initiator of the OGM.

This way the OGMs are flooded selectively through the mesh and inform the receiving nodes about other node’s existence. A node X will learn about the existence of a node Y in the distance by receiving it’s OGMs, when OGMs of node Y are rebroadcasted by it’s single hop neighbors. If node X has more than one neighbor, it can tell by the number of originator messages it receives quicker and more reliable via one of its single hop neighbors, which neighbor it has to choose to send data to the distant node.

The algorithm then selects this neighbor as the currently best next hop to the originator of the message and configures its routing table respectively.