Abstract
In the context of sensor clouds, the provisioningprocess is essential since it is responsible for selecting physicalsensors that will be allocated to compose virtual sensors. Inliterature, most works consider the allocation of all sensorswithin the region of interest. Such an approach, however, cancause serious problems such as wasted energy consumption. The objective of this paper is to present an approach toreducing energy consumption in provisioning of virtual sensorsby similarity of heterogenous sensors. The approach minimizesthe number of selected nodes and accordingly reduces the totalenergy consumption of sensor nodes that make up the cloud. Results from initial experiments show that the approach reducesenergy consumption by 73.97%, providing a solution to beconsidered in sensor cloud scenarios.
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