DocumentCode :
2556790
Title :
A Swarm Intelligence inspired Autonomic Routing Scenario in Ubiquitous Sensor Networks
Author :
Wang, Jin ; D´Auriol, Brian J. ; Lee, Young-Koo ; Lee, Sungyoung
Author_Institution :
Kyung Hee Univ., Seoul
fYear :
2007
fDate :
26-28 April 2007
Firstpage :
745
Lastpage :
750
Abstract :
Autonomic computing has attracted large amount of attention as a novel computing paradigm in the past few years. In this paper, we explore the inherent accordance between autonomic computing and swarm intelligence. Then, we propose a swarm intelligence inspired autonomic routing scenario with a targeting application area in ubiquitous sensor network. This scenario covers most of the characteristics of autonomic computing. The working flow and steps of our SI inspired autonomic routing scenario are explained in detail together with some preliminary simulation results, such as the power consumption, delivery ratio etc.
Keywords :
telecommunication network routing; ubiquitous computing; wireless sensor networks; autonomic computing; swarm intelligence inspired autonomic routing scenario; ubiquitous sensor networks; Computational modeling; Computer networks; Energy consumption; Insects; Intelligent sensors; Negative feedback; Particle swarm optimization; Pervasive computing; Routing; Sensor phenomena and characterization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Ubiquitous Engineering, 2007. MUE '07. International Conference on
Conference_Location :
Seoul
Print_ISBN :
0-7695-2777-9
Type :
conf
DOI :
10.1109/MUE.2007.59
Filename :
4197362
Link To Document :
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