Reducing Energy Consumption in Provisioning of Virtual Sensors by Similarity of Heterogenous Sensors
Marcus Lemos, Carlos de Carvalho, Douglas Lopes, Ricardo A. L. Rabêlo, Raimir Holanda Filho · 2017
In the context of sensor clouds, the provisioning process is essential since it is responsible for selecting physical sensors that will be allocated to compose virtual sensors. In literature, most works consider the allocation of all sensors within the region of interest. Such an approach, however, can cause serious problems such as wasted energy consumption. The objective of this paper is to present an approach to reducing energy consumption in provisioning of virtual sensors by similarity of heterogenous sensors. The approach minimizes the number of selected nodes and accordingly reduces the total energy consumption of sensor nodes that make up the cloud. Results from initial experiments show that the approach reduces energy consumption by 73.97%, providing a solution to be considered in sensor cloud scenarios.