A distributed adaptive channel assignment algorithm for dynamic spectrum access mesh networks

This paper proposes a distributed adaptive channel assignment (DACA) algorithm for dynamic spectrum access mesh networks (DSAMN) that utilize dynamically accessible channels for communication. DACA utilizes only the local information and operates in a distributed manner, where each node adaptively and independently switches among the available dynamic channels in DSAMN. Compared with existing channel assignment algorithms designed for static spectrum access wireless networks, DACA does not require any coordination or synchronization between neighboring nodes, while achieving good throughput, making DACA highly effective for DSAMN with dynamic channels and topology.