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This paper addresses the dynamic mapping of virtual sensors in a sensor-cloud environment to enhance the quality of Sensors-as-a-Service (Se-aaS) amidst multiple sensor-owners and heterogeneous nodes. The authors propose an online game theory-based scheme called QADMAP, which optimally selects dispersed nodes and distributes data rates, achieving significant reductions in energy consumption and improvements in service availability and profit margins. The study highlights the necessity of considering the sto

Author

Riaz Salim

Language

EN