Fractal-Based Analysis for the Energy Consumption Efficiency of Biological Networks
Author(s) -
Hidekazu Furuki,
Hiroshi Satō,
Tomohiro Shirakawa
Publication year - 2013
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2013.p0919
Subject(s) - computer science , fractal , energy consumption , fractal dimension , efficient energy use , fractal analysis , tree (set theory) , biological system , flow (mathematics) , biological network , energy (signal processing) , tree structure , mathematical optimization , topology (electrical circuits) , simulation , algorithm , mathematics , geometry , statistics , mathematical analysis , ecology , electrical engineering , combinatorics , biology , engineering , binary tree
Using a simulation model, we investigated the energy consumption efficiency of biological networks in terms of the fractal dimension of network morphology, the flow rate inside, and the resources needed for network construction. In themodel, we constructedmany types of tree networks and simulated the fluidic flow inside the networks. As a result, we clarified the precision of a preexisting equation and the efficiency of energy consumption for the networks.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom