The Distributed K-Means Clustering Over Peer-To-Peer Mesh Networks


Author(s): Dr. V.Ramesh

ta, computing nodes, and decentralized connections. Peer-to-peer computing is distributed computing standard to a large sequence of applications that involves exchange of information among a huge number of peers with little centralized coordination. It is monitoring clusters in the data residing at the different nodes of a Peer-To-Peer wireless mesh network. This assumes that all data are available at a single location. The data sources are distributed over a largescale Peer-To-Peer wireless mesh network and are collected from a central location and then clustered. The solution takes a decentralized approach, where peers (nodes) only synchronize with their immediate topological neighbours in the underlying communication network. The algorithm is adapted to dynamic Peer-To-Peer wireless mesh network where existing nodes drop out and new nodes join in during the execution of the algorithm and the data in network changes.