By Gianni A. Di Caro, Guy Theraulaz (eds.)
This ebook constitutes the completely refereed post-conference complaints of the seventh foreign convention on Bio-Inspired types of community, info and Computing platforms (Bionetics 2012), held in Lugano, Switzerland, in December 2012. The 23 revised complete papers awarded have been conscientiously reviewed and chosen from forty submissions. They disguise themes comparable to networking, robotics and neural networks, molecular scale and bioinformatics, optimization and bio-inspired modeling in quite a few fields.
Read Online or Download Bio-Inspired Models of Network, Information, and Computing Systems: 7th International ICST Conference, BIONETICS 2012, Lugano, Switzerland, December 10--11, 2012, Revised Selected Papers PDF
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Extra resources for Bio-Inspired Models of Network, Information, and Computing Systems: 7th International ICST Conference, BIONETICS 2012, Lugano, Switzerland, December 10--11, 2012, Revised Selected Papers
We observe the one-way end-to-end delay on session 1 while changing the sending rate of UDP datagrams of a 1000-bytes payload. As background traﬃc, another UDP session, where the inter-arrival time of datagrams follows the exponential distribution and the payload size of a datagram is 1000 bytes, is set between nodes S2 and D2 . It is called “session 2”. Fig. 2. Network topology used in simulation experiments We observe the average ∈w∀a and variance σa2 of one-way end-to-end delay of session 1 at the sending rate a Mbps.
A drop-tail FIFO buﬀer with the capacity of 1000 packets is deployed on each router. A CBR session called “session 1” is established between nodes S1 and D1 . We observe the one-way end-to-end delay on session 1 while changing the sending rate of UDP datagrams of a 1000-bytes payload. As background traﬃc, another UDP session, where the inter-arrival time of datagrams follows the exponential distribution and the payload size of a datagram is 1000 bytes, is set between nodes S2 and D2 . It is called “session 2”.
Oper. Res. 9, 286–294 (1982) 14. The network simulator ns-2. pl NASK Research and Academic Computer Network, 02-796 Warsaw, Poland Abstract. This paper introduces the Reactive ASR-FA algorithm which is a novel ant routing algorithm that utilizes statistical models of packet delay to detect changes in the network conditions. The algorithm is able to quickly react to various load level changes by temporarily modifying the learning parameter’s settings. We show in a set of experiments that using the Reactive ASR-FA signiﬁcantly speeds up the adaptation process of ant routing algorithms and assures lower values of the mean packet delay.