Proposal of Decentralized Information Sharing System using Local Matchmaking

In this paper, we propose a re-configuration method for personal human network and show the information sharing system using it. Personal human network is useful for various utilization of information like information gathering. Since a personal network is usually ad-hoc network, it is necessary to extend and optimize it. Using the neighborhood matchmaker method, we can increase a new friend who is expected to share interests via all own neighborhoods on the personal human network. Iteration of matchmaking is used to optimize personal human networks. We simulate the neighborhood matchmaker method and compare the results by our model with those by the central server model. The neighborhood matchmaker method can reach almost the same results obtained by the sever model.