NDLI: A Swarm Intelligence-based P2P file sharing protocol using Bee Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Dhurandher, S.K. Singhal, S. Aggarwal, S. Pruthi, P. Misra, S. Woungang, I.
Copyright Year	2009
Description	Author affiliation: School of Information Technology, Indian Institute of Technology, Kharagpur, West Bengal, India (Misra, S.) \|\| Department of Computer Science, Ryerson University, Toronto, Canada (Woungang, I.) \|\| Netaji Subhas Institute of Technology, University of Delhi, New Delhi, India (Singhal, S.; Aggarwal, S.; Pruthi, P.) \|\| CAITFS, Division of Information Technology, Netaji Subhas Institute of Technology, University of Delhi, New Delhi, India (Dhurandher, S.K.)
Abstract	A P2P file sharing system implementation on mobile ad-hoc networks is quite tricky to implement as compared to that on a wired network. With the use of Swarm Intelligence, the P2P file Sharing methodology not only has an optimized search process involving a more selective node tracing but also provides a far more time efficient and robust sharing mechanism. A P2P File sharing system implementation poses (a) percentage network area scanned and (b) selective file retrieval from a set of file bearing nodes as the biggest challenge. In this paper, we propose to use another Swarm Intelligence Technique Bees Algorithm - P2PBA (Peer to Peer file sharing - Bees Algorithm) to tackle these issues. Based on the lines of food search behavior of Honey Bees, it optimizes the search process by selectively going to more promising honey sources and scan through a sizeable area. Following a description of the algorithm, the paper gives simulation results for the network against specified parameters that our algorithm proposes to make file sharing technique more efficient.
Starting Page	690
Ending Page	696
File Size	486476
Page Count	7
File Format	PDF
ISBN	9781424438075
DOI	10.1109/AICCSA.2009.5069402
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-10
Publisher Place	Morocco
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Particle swarm optimization Peer to peer computing Protocols Information technology Clustering algorithms Intelligent networks Ad hoc networks Optimization methods Robustness Computational modeling
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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