An optimization approach to capacity planning of aggregators and resource provisioning in cloud providers for meteorological sensor network

To forecast the weather accurately, meteorologists need the meteorological data from wireless sensor devices which are installed in different geographical areas besides from satellites. Nowadays, cloud computing technology can provide data storage and data processing tasks for the big meteorological data from numerous sensors. However, wireless sensors have short communication range to send the data to cloud. Therefore, we propose a heuristic system model with aggregator approach. The aggregator approach has responsibility to collect the data from sensors and transfer to the cloud with high speed bandwidth over long distance. Furthermore, optimization approaches are applied in capacity planning of aggregators and resource provisioning in cloud providers for system model to reduce the cost. Based on numerical results, the total cost of system model can be minimized.