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
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;
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
DOI :
10.1109/IGARSS.2009.5417632