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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10119/11409
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| Title: | Adaptive Fractal-like Network Structure for Efficient Search of Targets at Unknown Positions |
| Authors: | Hayashi, Yukio |
| Keywords: | Self-organization
Division Process
Levy Flight
Multi-Scale Quatered Network
Complex Network Science |
| Issue Date: | 2012-07-22 |
| Publisher: | IARIA |
| Magazine name: | ADAPTIVE 2012 : The Fourth International Conference on Adaptive and Self-Adaptive Systems and Applications |
| Start page: | 63 |
| End page: | 68 |
| Abstract: | Since a spatial distribution of communication requests is inhomogeneous and related to a population, in constructing a network, it is crucial for delivering packets on short paths through the links between proximity nodes and for distributing the load of nodes how to locate the nodes as base-stations on a realistic wireless environment. In this paper, from viewpoints of complex network science and biological foraging, we propose a scalably self-organized geographical network, in which the proper positions of nodes and the network topology are simultaneously determined according to the population, by iterative divisions of rectangles for load balancing of nodes in the adaptive change of their territories. In particular, we consider a decentralized routing by using only local information, and show that, for searching targets around high population areas, the routing on the naturally embedded fractal-like structure by the population has higher efficiency than the conventionally optimal strategy on a square lattice. |
| Rights: | Copyright (C) 2012 IARIA. Yukio Hayashi, ADAPTIVE 2012 : The Fourth International Conference on Adaptive and Self-Adaptive Systems and Applications, 2012, 63-68. |
| URI: | http://hdl.handle.net/10119/11409 |
| Material Type: | publisher |
| Appears in Collections: | a11-1. 会議発表論文 (Conference Papers)
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| 18555.pdf | | 501Kb | Adobe PDF | View/Open |
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