An algorithm based on ant colony optimization for provisioning virtual sensor in sensor cloud

In sensor clouds environments, the provisioning process is a crucial task since it is responsible for selecting physical sensors nodes that will be allocated to compose virtual sensors. In literature, most works consider the allocation of all sensors within the region of interest. However, this approach causes serious problems such as wasted energy consumption. Therefore, the objective of this paper is to present ACOSIM, an approach to minimize the overall sensor cloud energy consumption by selecting only a subset of sensor nodes to compose the virtual sensors. Results from initial experiments show that the approach reduces the sensor cloud energy consumption the by 73.97%, providing a solution to be considered in sensor cloud scenarios.