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Chemistry-inspired, Context-Aware, and Autonomic Management System for Networked Objects

Authors:
Mahmoud ElGammal
Mohamed ElToweissy

Keywords: affinity propagation, bio-inspired computing, chemical affinity, context awareness, Internet-of-Things, networked objects, pervasive computing

Abstract:
We present a new method for network configuration and management in pervasive computing systems inspired by the Chemical Affinity theory. We coined our approach C2A2: Chemistry-inspired, Context-Aware, and Autonomic management system for networked objects. The hypothesis behind C2A2 is that by paralleling the model of interaction that takes place between atoms during a chemical reaction, a form of collective intelligence emerges among system components enabling them to achieve a common global objective while relying primarily on preferences expressed at the individual level. In C2A2, both physical and logical entities in the network are modeled as atoms with varying levels of affinity toward each other. Network reconfiguration is realized by breaking existing bonds between atoms and establishing new ones based on inter-atom affinities, which change continuously in response to context dynamics. Context is seen as having either a catalytic or inhibiting effect on reactions and is used to guide bond creation in favor of reactions that are most suitable to the situation at hand. Bonds are established by exchanging messages between atoms using a protocol that leverages the Affinity Propagation algorithm, which is used in C2A2 as a reaction execution engine. Finally, we use simulation to evaluate the performance of C2A2 in clustering and task assignment in wireless sensor networks.

Pages: 38 to 47

Copyright: Copyright (c) IARIA, 2015

Publication date: March 22, 2015

Published in: conference

ISSN: 2308-3735

ISBN: 978-1-61208-389-6

Location: Nice, France

Dates: from March 22, 2015 to March 27, 2015