Congress of the Italian Association for Artificial Intelligence

AI*IA 2015 Advances in Artificial Intelligence pp 3-16 | Cite as

Collective Self-Awareness and Self-Expression for Efficient Network Exploration

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9336)

Abstract

Message broadcasting and topology discovery are classical problems for distributed systems, both of which are related to the concept of network exploration. Typical decentralized approaches assume that network nodes are provided with traditional routing tables. In this paper we propose a novel network exploration approach based on collective self-awareness and self-expression, resulting from the simultaneous application of two strategies, namely hierarchy and recursion, which imply the adoption of unusual routing tables. We show how the proposed approach may provide distributed systems with improved efficiency and scalability, with respect to traditional approaches.

Keywords

Collective self-awareness Collective self-expression Hierarchy and recursion Network exploration 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Information EngineeringUniversita degli Studi di ParmaParmaItaly

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