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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/11647
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| タイトル: | Adaptive Fractal-like Network Structure for Efficient Search of Targets at Unknown Positions and for Cooperative Routing |
| 著者: | Hayashi, Yukio
Komaki, Takayuki |
| キーワード: | Self-organized design
Spatially inhomogeneous communication
Random walk
Levy flight
Cooperative message ferries |
| 発行日: | 2013-07-30 |
| 出版者: | IARIA |
| 誌名: | International Journal on Advances in Networks and Services |
| 巻: | 6 |
| 号: | 1&2 |
| 開始ページ: | 37 |
| 終了ページ: | 50 |
| 抄録: | From viewpoints of complex network science and biological foraging for communication networks, we propose a system model of scalable self-organized geographical networks, in which the proper positions of nodes and the network topology are simultaneously determined according to population. The fractal-like network structure is constructed by iterative divisions of rectangles for load balancing across nodes, in order to adapt to territory changes. In numerical simulations, we show that, for searching targets concentrated around high population areas, the naturally embedded fractal-like structure by population has higher efficiency than the conventionally optimal strategy on a square lattice. The adaptation of network structure to the spatial distribution of realistic communication requests gives such a high performance |
| Rights: | 2013, © Copyright by authors. Yukio Hayashi, and Takayuki Komaki, International Journal on Advances in Networks and Services, 6(1&2), 2013, 37-50. This material is posted here with permission of IARIA. |
| URI: | http://hdl.handle.net/10119/11647 |
| 資料タイプ: | publisher |
| 出現コレクション: | a10-1. 雑誌掲載論文 (Journal Articles)
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このアイテムのファイル:
| ファイル |
記述 |
サイズ | 形式 |
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| 19581.pdf | | 1008Kb | Adobe PDF | 見る/開く |
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