Distributed Throughput Optimization Over P2P Mesh Networks Using Diffusion Adaptation

This work develops a decentralized adaptive strategy for throughput maximization over Peer-To-Peer (P2P) networks. The adaptive strategy can cope with changing network topologies, is robust to network disruptions, and does not rely on central processors. The algorithm is obtained as a special case of a more general diffusion strategy for the distributed solution of optimization problems with constraints. Simulation results illustrate how the proposed technique is competitive with other methods. Peer-to-peer networks are useful for file sharing and for distributing bandwidth in streaming video applications.