Cart (Loading....) | Create Account
Close category search window
 

Ecologically Inspired Distributed Search in Unstructured Peer-to-Peer Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Li Sa ; Donghua Univ., Shanghai ; Yongsheng Ding

Nowadays, the most popular peer-to-peer applications operate on unstructured networks. This paper describes our research effort to design and implement an agent based search algorithm that allows for searching in unstructured decentralized network. In this algorithm, we models autonomous adaptive agents after several ecological concepts and mechanisms. We focus on the problem of actively changing the topology of the P2P network by utilizing Schelling's segregation model to improve the efficiency of search.

Published in:

Network and Parallel Computing Workshops, 2007. NPC Workshops. IFIP International Conference on

Date of Conference:

18-21 Sept. 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.