Title :
Self-Adaptability and Organization for Pervasive Computing and Sensor Network Environments Using a Biologically-Inspired Approach
Author :
Sakhaee, Ehssan ; Wakamiya, Naoki ; Murata, Masayuki
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita, Japan
Abstract :
In this paper we propose an architecture which integrates the notion of self-adaptability and self-organization in the pervasive computing architecture. Furthermore we describe how a biologically-inspired approach may be a good candidate for this purpose in order to provide a resilient, self-adaptive system similar to living biological systems. Additionally the emergent intelligence that would ultimately encompass the human being and its environment would inevitably assist us where our consciousness is not present.
Keywords :
distributed sensors; self-adjusting systems; ubiquitous computing; biologically-inspired approach; pervasive computing; self-adaptive system; self-organization; sensor network environments; Ambient intelligence; Biological systems; Biology; Biosensors; Computer architecture; Differential equations; Distributed processing; Information science; Pervasive computing; Stability; ambient intelligence; pervasive computing; self-adaptability; self-organization;
Conference_Titel :
Parallel and Distributed Processing with Applications, 2008. ISPA '08. International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3471-8
DOI :
10.1109/ISPA.2008.97