Application of Bio-inspired Algorithm to Adaptive Routing of Packets and to Traffic Congestion of Roads
仿生算法在数据包自适应路由和道路交通拥堵中的应用
基本信息
- 批准号:21310109
- 负责人:
- 金额:$ 12.23万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (B)
- 财政年份:2009
- 资助国家:日本
- 起止时间:2009 至 2011
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In the research fields of information & communication network, P2P network, sensor network and adhoc network, how to realize the fault-tolerancy, scalability, autonomous distribution is hot issue. In this research, at the first step, we applied the adaptive and load balancing mechanism by mimicking enzymatic feedback system in cells to the scale-free 100 nodes network, in which a lot of packets are passing through. By changing of top 10% of most heavy traffic nodes to apaptive nodes composed of enzymatic feedback mechanism, the network showed fault-tolerancy against DoS attack. In the same manner, at the second step, we applied the adaptive and load balancing mechanism of enzymatic feedback system in cells to the traffic congestion control at Tenjin area in Fukuoka-city and optimal signal control of crossings. We simulated the road network at the time of an incident, and showed that the proposed algorithm was highly robust in the network. From these results, we concluded that the proposed algorithm can average the load balance and is highly robust.
在信息通信网络、P2P网络、传感器网络和自组网等研究领域,如何实现网络的容错性、可扩展性和自治分布是一个热点问题。在本研究中,第一步,我们通过模拟细胞中的酶反馈系统,将自适应和负载平衡机制应用到无标度的100节点网络中,其中有大量数据包通过。通过将流量最大的前10%节点替换为酶反馈机制组成的自适应节点,网络对DoS攻击具有容错能力。同样,在第二步,我们将细胞内酶反馈系统的自适应和负载平衡机制应用于福冈市天津地区的交通拥堵控制和交叉口的最优信号控制。我们对事故发生时的道路网络进行了仿真,结果表明所提出的算法在网络中具有很高的鲁棒性。结果表明,该算法具有较强的鲁棒性和较好的均衡性。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Fault Tolerant Mechanism of Bio-inspired Adaptive Routing System
- DOI:10.4108/icst.bionetics2008.4717
- 发表时间:2008-11
- 期刊:
- 影响因子:0
- 作者:Akiyuki Iwasaki;T. Nozoe;Takashi Kawauchi;M. Okamoto
- 通讯作者:Akiyuki Iwasaki;T. Nozoe;Takashi Kawauchi;M. Okamoto
Design an effective method of bio-inspired adaptive routing algorithmm
设计一种有效的仿生自适应路由算法
- DOI:
- 发表时间:2009
- 期刊:
- 影响因子:0
- 作者:A.Iwasaki;et al.
- 通讯作者:et al.
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OKAMOTO Masahiro其他文献
OKAMOTO Masahiro的其他文献
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{{ truncateString('OKAMOTO Masahiro', 18)}}的其他基金
The effect of exercise to overcome stress and depression: Elucidation of a hippocampal molecular mechanism using RNA-Seq
运动对克服压力和抑郁的作用:利用 RNA-Seq 阐明海马分子机制
- 批准号:
16K16559 - 财政年份:2016
- 资助金额:
$ 12.23万 - 项目类别:
Grant-in-Aid for Young Scientists (B)
Impacts on political activity of non-profit organizations caused by Public Interest Corporation System Reform and comparative analysis of regulation systems
公益法人体制改革对非营利组织政治活动的影响及规制制度比较分析
- 批准号:
26380199 - 财政年份:2014
- 资助金额:
$ 12.23万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Humanity, Nationality and Citizenship : Civil Society, Nationalism, Globalism and New Political Theories
人性、民族性和公民身份:公民社会、民族主义、全球主义和新政治理论
- 批准号:
20330029 - 财政年份:2008
- 资助金额:
$ 12.23万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Bio-inspired Algorithm of Traffic Engineering: Application to Adaptive Routing of Packets
流量工程仿生算法:在数据包自适应路由中的应用
- 批准号:
19300020 - 财政年份:2007
- 资助金额:
$ 12.23万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Design of biologically inspired distributed adaptive routing system
仿生分布式自适应路由系统设计
- 批准号:
16310117 - 财政年份:2004
- 资助金额:
$ 12.23万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Automatic Derivation of Nonlinear State Equations by Using Artificial Intelligence in Inverse Problem of Complex Systems
复杂系统反问题中人工智能自动推导非线性状态方程
- 批准号:
13680449 - 财政年份:2001
- 资助金额:
$ 12.23万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Inference of Genetic Interactions in Large Scale Genetic Network
大规模遗传网络中遗传相互作用的推断
- 批准号:
12208008 - 财政年份:2000
- 资助金额:
$ 12.23万 - 项目类别:
Grant-in-Aid for Scientific Research on Priority Areas
Recognition of shape-changes in 3D-objects by GRBF network
通过 GRBF 网络识别 3D 对象的形状变化
- 批准号:
10680387 - 财政年份:1998
- 资助金额:
$ 12.23万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Investigation of Intelligent Network Topology by Mimicking the Fault-tolerant Network Structure of Metabolic Pathways
通过模仿代谢途径的容错网络结构来研究智能网络拓扑
- 批准号:
10555128 - 财政年份:1998
- 资助金额:
$ 12.23万 - 项目类别:
Grant-in-Aid for Scientific Research (B).