DocumentCode
605214
Title
Integration Framework for Simulation Tools to Engineer Emergent Self-Organizing Behavior
Author
Orfanus, Dalimir ; Janacik, P. ; Eliassen, Frank
Author_Institution
Corp. Res., ABB, Oslo, Norway
fYear
2013
fDate
10-12 April 2013
Firstpage
335
Lastpage
340
Abstract
This paper presents a simulation tool integration framework which aims to integrate tools from various research fields in order to provide a seamless design flow for distributed systems with Emergent Self-Organization (ESO). ESO is a decentralized dynamic process with many favorable properties which makes it attractive for large scale distributed systems. However, ESO has a "non-linear" and "random" nature requiring expertise and tools from various research fields. Instead of extending every simulator and modeling framework to contain some of the required tools we propose a tool integration framework consisting of a repository of ESO design tools together with an integration infrastructure. The tools can be immediately used, thus significantly reducing development time and helping to fully explore the potential of ESO. Moreover, these tools can be created by experts on various aspects of ESO and seamlessly used in any relevant application domain. We demonstrate the usefulness of the proposed framework by showing how it can be used to improve an existing self-organizing data collection algorithm for Wireless Sensor Networks.
Keywords
data acquisition; digital simulation; distributed processing; wireless sensor networks; ESO; decentralized dynamic process; engineer emergent self-organizing behavior; integration infrastructure; large scale distributed system; seamless design flow; self-organizing data collection algorithm; simulation tool integration framework; wireless sensor network; Data collection; Estimation; Libraries; Protocols; Routing; Tuning; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
Conference_Location
Cambridge
Print_ISBN
978-1-4673-6421-8
Type
conf
DOI
10.1109/UKSim.2013.53
Filename
6527440
Link To Document