TY - GEN
T1 - Self-organising Sensor Web using cell-fate optimisation
AU - Van Zyl, Terence L.
AU - Ehlers, Elizabeth M.
PY - 2009
Y1 - 2009
N2 - The Sensor Web as an open complex adaptive system exhibits many characteristic that are common to selforganising 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 selforganisation 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.
AB - The Sensor Web as an open complex adaptive system exhibits many characteristic that are common to selforganising 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 selforganisation 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.
KW - Cell-fate optimisation
KW - Self-adaptive system
KW - Self-organising
KW - Sensor Web
KW - Signal regulatory networks
UR - http://www.scopus.com/inward/record.url?scp=77950956427&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2009.5417632
DO - 10.1109/IGARSS.2009.5417632
M3 - Conference contribution
AN - SCOPUS:77950956427
SN - 9781424433957
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - V461-V464
BT - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings
T2 - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009
Y2 - 12 July 2009 through 17 July 2009
ER -