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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.