Application of Bio-inspired Algorithm to Adaptive Routing of Packets and to Traffic Congestion of Roads

点击翻译按钮获取中文摘要

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.