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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/3421

Title: Self-organising sensor web using cell-fate optimisation
Authors: Van Zyl, TL
Ehlers, EM
Keywords: Sensor web
Cell-fate optimisation
Signal regulatory networks
Self-adaptive system
IEEE International Geoscience and Remote Sensing Symposium
IGARSS 2009 Conference
Geoscience
Remote sensing
Earth observation technologies
Issue Date: Jul-2009
Citation: Van Zyl, TL and Ehlers, EM. 2009. Self-organising sensor web using cell-fate optimisation. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12 - 17 July 2009, pp 2
Series/Report no.: Workflow request; 1531
Abstract: The Sensor Web as an open complex adaptive system exhibits many characteristics 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
Description: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12 - 17 July 2009
URI: http://hdl.handle.net/10204/3421
Appears in Collections:Remote Sensing
Earth observation
General science, engineering & technology
Earth observation technologies

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