Bio-Inspired Models of Networks, Information, and Computing by Saeideh Bakhshi, Constantine Dovrolis (auth.), Emma Hart,

By Saeideh Bakhshi, Constantine Dovrolis (auth.), Emma Hart, Jon Timmis, Paul Mitchell, Takadash Nakamo, Foad Dabiri (eds.)

This ebook constitutes the completely refereed post-conference lawsuits of the sixth foreign convention on Bio-Inspired versions of community, details, and Computing platforms (Bionetics). the development came about within the urban of York, united kingdom, in December 2011. Bionetics major target is to deliver bio-inspired paradigms into computing device engineering and networking, and to augment the fruitful interactions among those fields and biology. The papers of the convention have been authorized in 2 different types: complete papers and work-in development. complete papers describe major advances within the Bionetics box, whereas work-in-progress papers current a chance to debate breaking examine that's at present being evaluated. the themes are starting from robot coordination to assault detection in peer-to-peer networks, organic mechanisms together with evolution, flocking and synthetic immune structures, and nano-scale conversation and networking.

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Extra info for Bio-Inspired Models of Networks, Information, and Computing Systems: 6th International ICST Conference, BIONETICS 2011, York, UK, December 5-6, 2011, Revised Selected Papers

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As a simulation environment, we used INFORM-Lab Simulation testbed [10]. This environment enables to execute different algorithms for distributed information fusion and dynamic resource management. It contains different surveillance vignettes with different scenarios. The proposed algorithm is coded in java. 5 GHZ laptop. The instances are generated based on a real network: the US National Science Foundation (NSF) [3], containing 14 nodes and 42 directed arcs. The simulation parameter to vary is the number of messages to be shared.

Figure 3 plots the number of data points that were correctly stored and recalled for the different node configurations. It can be seen that adding more conflict resolving nodes initially makes a large impact on the memory capacity but provides diminishing returns. Figure 4b shows the total number of memory locations available and the number actually used in the PPAM on a logarithmic scale. This “total number of locations used” is the sum of all memory locations used in each node. The distribution for the number of memory locations used in each node can be seen in Figure 5, which shows that the maximum number of memory locations used in any node for any configuration was 160 whereas the upper quartile is half that and the median is even lower.

Robots that are only connected to one other module then remove themselves from the organism by reversing away, and so the process repeats until all of the robots have left. We assume that disassembly begins only once the 3D organism has reconfigured itself into a 2D planar organism, how the organism arrives in this arrangement is considered to be outside of the current scope.

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