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dc.contributor.author Van Zyl, TL
dc.contributor.author Ehlers, EM
dc.date.accessioned 2009-06-04T14:14:54Z
dc.date.available 2009-06-04T14:14:54Z
dc.date.issued 2009-07
dc.identifier.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 en
dc.identifier.uri http://hdl.handle.net/10204/3421
dc.description IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12 - 17 July 2009 en
dc.description.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 en
dc.language.iso en en
dc.relation.ispartofseries Workflow request; 1531
dc.subject Sensor web en
dc.subject Cell-fate optimisation en
dc.subject Signal regulatory networks en
dc.subject Self-adaptive system en
dc.subject IEEE International Geoscience and Remote Sensing Symposium en
dc.subject IGARSS 2009 Conference en
dc.subject Geoscience en
dc.subject Remote sensing en
dc.subject Earth observation technologies
dc.title Self-organising sensor web using cell-fate optimisation en
dc.type Presentation en


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