An Information Search Method Based on Management Area Segmentation with Multiple Mobile Agents in Unstructured Peer-to-Peer Networks
Takayuki Yamamoto, Shinji Sugawara, Yutaka Ishibashi · 2011
This paper proposes a content search method in unstructured P2P networks. In this proposal, a network is autonomously divided into a number of limited areas, and information concerning content's type and location is collected in each area by multiple mobile agents. This information is kept by some nodes in each area, and queries for content searching are forwarded to these nodes. Because all the information that nodes and agents have to keep is only on the area they belong to, the proposal is expected to reduce communication traffic in content search and to achieve a precise content detection.