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Self-organizing systems with self-diagnosability

K. Yoshida, Tohru Kohda, Yasumasa Sujaku

Year
2003
Citations
2

Abstract

Constructing a system capable of functioning without any human support over an extended period is the aim of many engineers. However it is generally considered to be difficult to make decentralized self-organizing autonomous system fault-tolerant. In this paper, we propose to apply the theory of highly structured self-diagnosable systems to this problem. As an example, we apply the theory and recursive procedures method of fault-tolerant system construction to a decentralized self-organizing autonomous robotic system that forms a circle. The result of simulation shows the usefulness of the proposed method. The highly structured self-diagnosable system has an O(|E|)fault-identification algorithm that can diagnose each of the units in the system independently, locally and in any order, where E and |E| mean the set of the directed edges and its cardinality, respectively.

Keywords

Cardinality (data modeling)Computer scienceFault toleranceSet (abstract data type)Fault (geology)Self-organizationDistributed computingIdentification (biology)Order (exchange)Theoretical computer science

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