Bio Inspired Networking - Seminar Reports|PPT|PDF|DOC|Presentation




  The term bio-inspired has been introduced to demonstrate the strong relation between a particular system or algorithm, which has been proposed to solve a specific problem, and a biological system, which follows a similar procedure or has similar capabilities. In the last 15 years, we have witnessed unprecedented growth of the Internet. Moreover, the Internet continues to evolve at a rapid pace in order to utilize the latest technological advances and meet new usage demands. It has been a great research challenge to find an effective means to influence its future and to address a number of important issues facing the Internet today, such as overall system security, routing scalability, effective mobility support for large numbers of moving components and the various demands put on the network by the ever-increasing number of new applications and devices.





Although the Internet is perhaps the worlds newest large-scale, complex system, it is certainly not the first nor the only one. Certainly, the most commonly known large-scale, complex systems are biological. Biological systems have been evolving over billions of years, adapting to an ever-changing environment. They share several fundamental properties with the Internet, such as the absence of centralized control, increasing complexity as the system grows in size, and the interaction of a large number of individual, self governing components. Despite their disparate origins (one made by nature, the other made by man), it is easy to draw analogies between these two systems. so, there is a great opportunity to find solutions in biology that can be applied to problems in networking. As a result of millions of years of evolution, biological systems and processes have intrinsic appealing characteristics. They are

• adaptive to the varying environmental circumstances,

• robust and resilient to the failures caused by internal or external factors,

• able to achieve complex behaviors on the basis of a usually limited set of basic rules,

• able to learn and evolve itself when new conditions are applied,

• effective management of constrained resources with an apparently global intelligence larger than the superposition of individuals,

• able to self-organize in a fully distributed fashion,

• collaboratively achieving efficient equilibrium,

• survivable despite harsh environmental conditions due to its inherent and sufficient redundancy.

The common rational behind this effort is to capture the governing dynamics and understand the fundamentals of biological systems in order to devise new methodologies and tools for designing and managing communication systems and information networks that are inherently adaptive to dynamic environments, heterogeneous, scalable, self-organizing, and evolvable.

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