A Swarm Intelligence-based P2P file sharing protocol using Bee Algorithm

A P2P file sharing system implementation on mobile ad-hoc networks is quite tricky to implement as compared to that on a wired network. With the use of swarm intelligence, the P2P file sharing methodology not only has an optimized search process involving a more selective node tracing but also provides a far more time efficient and robust sharing mechanism. A P2P file sharing system implementation poses (a) percentage network area scanned and (b) selective file retrieval from a set of file bearing nodes as the biggest challenge. In this paper, we propose to use another swarm intelligence technique bees algorithm - P2PBA (peer to peer file sharing - bees algorithm) to tackle these issues. Based on the lines of food search behavior of Honey Bees, it optimizes the search process by selectively going to more promising honey sources and scan through a sizeable area. Following a description of the algorithm, the paper gives simulation results for the network against specified parameters that our algorithm proposes to make file sharing technique more efficient.