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
Reference:
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
Van Zyl, T., & Ehlers, E. (2009). Self-organising sensor web using cell-fate optimisation. http://hdl.handle.net/10204/3421
Van Zyl, TL, and EM Ehlers. "Self-organising sensor web using cell-fate optimisation." (2009): http://hdl.handle.net/10204/3421
Van Zyl T, Ehlers E, Self-organising sensor web using cell-fate optimisation; 2009. http://hdl.handle.net/10204/3421 .
