DocumentCode
3533368
Title
Self-organising sensor web using Cell-Fate Optimisation
Author
Van Zyl, Terence L. ; Ehlers, Elizabeth M.
Author_Institution
Acad. of Inf. Technol., Univ. of Johannesburg, Johannesburg, South Africa
Volume
5
fYear
2009
fDate
12-17 July 2009
Abstract
The Sensor Web as an open complex adaptive system exhibits many characteristic that are common to self-organising systems. One of the characteristics of the Sensor Web is that of self-adaptivity in a changing environment. The changing environment may be doing so both dynamically and stochastically. When presented by a dynamic and stochastic changing environment, such as a sensor resource unexpectedly going down, a self-adaptive system should exhibit robustness. Cell-fate optimisation and signal regulatory networks provide a mechanism for self-organisation of agents in environments that are dynamic, distributed and possibly stochastic. Cell-fate optimisation and signal regulatory networks are shown to be effective mechanisms not only for addressing robustness but also for addressing adaptivity in the sensor web in general.
Keywords
environmental science computing; optimisation; self-adjusting systems; wireless sensor networks; cell-fate optimisation; dynamic changing environment; open complex adaptive system; self-organising sensor web; signal regulatory networks; stochastic changing environment; Adaptive systems; Robustness; Sensor phenomena and characterization; Sensor systems; Stochastic processes; Stochastic systems; Cell-Fate Optimisation; Self-Adaptive System; Self-Organising; Sensor Web; Signal Regulatory Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location
Cape Town
Print_ISBN
978-1-4244-3394-0
Electronic_ISBN
978-1-4244-3395-7
Type
conf
DOI
10.1109/IGARSS.2009.5417632
Filename
5417632
Link To Document