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Simulations on redundant sensing of distributed sensory networks
Conference proceeding   Open access

Simulations on redundant sensing of distributed sensory networks

Emrah Bozkurt, Anil Coskun, Metin Tanoglu, Hakki Ehran Sevil and Serhan Ozdemir
Proceedings of 6th International Symposium on Intelligent and Manufacturing Systems, October 14-16, 2008, pp.465-469
2008

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Abstract

Distributed sensory networks (DSN) are fast becoming a commonplace as the need for the amount and the reliability of sensory information increases. The most important mechanism to occur in biological DSNs is called "Lateral Inhibition, (LI)". LI relies on one simple principle. Each sensor strives to suppress its neighbors in proportion to its own excitation. LI is found all around the human nervous system. In touch, for example, lateral inhibition occurs at the relay points on the way up to the brain. The authors have performed simulations on LI, considering factors such as the strength of LI, the strength of feedback, etc. It is seen that as the strengths are varied. Results show that LI could be implemented in a vast domain ranging from fault detection to data processing efficiency, without necessarily losing the required resolution.
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