Search in complex network

Decentralized searching finds targeted nodes in network without asking help from server, but using local information only. (1) By examining and evaluating several degree‐based decentralized algorithms and related factors, this final year report shows how does the searching efficiency affected by...

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Bibliographic Details
Main Author: Lim, Kian Shin.
Other Authors: Xiao Gaoxi
Format: Final Year Project (FYP)
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/16702
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author Lim, Kian Shin.
author2 Xiao Gaoxi
author_facet Xiao Gaoxi
Lim, Kian Shin.
author_sort Lim, Kian Shin.
collection NTU
description Decentralized searching finds targeted nodes in network without asking help from server, but using local information only. (1) By examining and evaluating several degree‐based decentralized algorithms and related factors, this final year report shows how does the searching efficiency affected by the nodal degree, memory, searching mechanism and network topology. It is also found that the benefit of using more memory can be achieved by using better searching mechanism. With the careful design of the searching algorithm, it is possible to improve the searching efficiency in terms of success rate and delivery time. In this final year report, the effects of four chosen factors to the degreebased decentralized algorithms had been examined in different chapters. The 4 factors are the effect of average nodal degree, effect of memory, effect of backtracking and effect of clusters. The simulation results show that larger average nodal degree, larger memory size and more backtracking steps and smaller modularity in a network imply better searching efficiency. The mechanism of those effects were revealed the in this report and an improvement for the degree‐based decentralized algorithm was proposed.
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spelling ntu-10356/167022023-07-07T17:05:51Z Search in complex network Lim, Kian Shin. Xiao Gaoxi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Decentralized searching finds targeted nodes in network without asking help from server, but using local information only. (1) By examining and evaluating several degree‐based decentralized algorithms and related factors, this final year report shows how does the searching efficiency affected by the nodal degree, memory, searching mechanism and network topology. It is also found that the benefit of using more memory can be achieved by using better searching mechanism. With the careful design of the searching algorithm, it is possible to improve the searching efficiency in terms of success rate and delivery time. In this final year report, the effects of four chosen factors to the degreebased decentralized algorithms had been examined in different chapters. The 4 factors are the effect of average nodal degree, effect of memory, effect of backtracking and effect of clusters. The simulation results show that larger average nodal degree, larger memory size and more backtracking steps and smaller modularity in a network imply better searching efficiency. The mechanism of those effects were revealed the in this report and an improvement for the degree‐based decentralized algorithm was proposed. Bachelor of Engineering 2009-05-28T02:29:42Z 2009-05-28T02:29:42Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/16702 en Nanyang Technological University 71 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Lim, Kian Shin.
Search in complex network
title Search in complex network
title_full Search in complex network
title_fullStr Search in complex network
title_full_unstemmed Search in complex network
title_short Search in complex network
title_sort search in complex network
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
url http://hdl.handle.net/10356/16702
work_keys_str_mv AT limkianshin searchincomplexnetwork