Local Semantic Indexing for Resource Discovery on Overlay Network Using Mobile Agents

DOI

10.1080/18756891.2013.856257How to use a DOI?

Keywords

Resource Discovery, Overlay Network, Reconnaissance Agent, Latent Semantic Indexing, Cosine Similarity

Abstract

One of the most crucial problems in a peer-to-peer system is locating of resources that are shared by various nodes. Various techniques suggested in literature suffer from drawbacks viz. saturation of network, inability to locate multi-keyword based resource or locate resource based on semantics. We present the solution that is more efficient and effective for discovering shared resources on a network that is influenced by content shared by nodes. To reduce the search load on nodes that have uncorrelated content, an efficient migration route is proposed for mobile agent that is based on cosine similarity of content shared by nodes and user query and minimum support. Results show reduction in search load and traffic due to communication, and increase in locating of resources defined by multiple keys using mobile agent that are logically similar to user query. Furthermore, the results indicate that by use of our technique the relevance of search results is higher; that is obtained by minimal traffic generation/communication and hops made by mobile agent.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - M. Singh
AU  - X. Cheng
AU  - R. Belavkin
PY  - 2014
DA  - 2014/06/01
TI  - Local Semantic Indexing for Resource Discovery on Overlay Network Using Mobile Agents
JO  - International Journal of Computational Intelligence Systems
SP  - 432
EP  - 455
VL  - 7
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.856257
DO  - 10.1080/18756891.2013.856257
ID  - Singh2014
ER  -