An algorithm for clustering and aggregation of Wireless Mesh Network's topology

One from the factors that complicate control processes in Wireless Mesh Networks is related to interference phenomenon. Particularly it affects resource management at link layer (including time slot allocation and routing afterwards). A rational way to simplify the process is hierarchical control which requires clustering and aggregation of topology information. In the paper we proposed interference-based clustering algorithm that divides nodes into interference-prone and interference-unprone clusters. In last case such clusters can be controlled in parallel.