A multi-agent system for minimizing information indeterminacy within information fusion scenarios in peer-to-peer networks with limited resources-Reference-Cited by-同舟云学术

A multi-agent system for minimizing information indeterminacy within information fusion scenarios in peer-to-peer networks with limited resources

Published:2018-07 Issue: Volume:451-452 Page:271-294
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Paggi Horacio,Soriano Javier,Lara Juan Alfonso^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference53 articles.

1. Wireless sensor networks: a survey;Akyildiz;Comput. Netw.,2002

2. D.S. Alberts, R.E. Hayes, Power to the Edge. Command and Control in the Information Age, Information Age Transformation, Command and Control Re-search Program (CCRP), 3rd. edn., 2005.

3. Implementing edge organizations: exploiting complexity (Part 1: a framework for the characterization of edge organizations and their environments);Alston,2005

4. Modeling data and process quality in multi-input, multi-output information systems;Ballou;Manag. Sci.,1985

5. A Conceptual Guide to Statistics Using SPSS;Berkman,2012

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An intelligent optimized users resource searching and nearest peer identification in Mobile networks;International Journal of Communication Systems;2024-05-26

2. An adaptive vulture based deep belief mechanism for searching user's resources in mobile P2P environment;Cluster Computing;2024-03-30

3. Data Processing Method of Mine Wind Speed Monitoring Based on an Improved Fuzzy C-Means Clustering Algorithm;Applied Sciences;2022-09-27

4. A distributed soft sensors model for managing vague and uncertain multimedia communications using information fusion techniques;Alexandria Engineering Journal;2022-07

5. On the use of information fusion techniques to improve information quality: Taxonomy, opportunities and challenges;Information Fusion;2022-02