چكيده به لاتين
The Internet of Things is the network of devices, vehicles, home appliances and other objects around us that have sensors, actuators, software, hardware, and numerous communication technologies. It is considered one of the most promising technologies of the future. One emerging area of the IoT today is the unmanned aerial vehicles that are connected to the internet. These devices, with the considerable recent advancements in production and storage of energy, like the more powerful and lighter batteries, and more efficient solar cells, are able to remain airborne for long periods of time. The important challenge that these systems are facing today, is keeping a balance between system performance measures and their power consumption levels. In order to maintain this balance, modeling and analysis can be a precise approach. This research aims to provide a model based on Stochastic Activity Networks, to investigate the trade-off between power consumption and performance in such a system. We use Möbius software to implement our model. The proposed model contains submodels such as wind direction and velocity, sunlight, pathfinding, global positioning, sampling, motion, and communication. Numerous examinations of the model along with the results are presented. We then show how the changes in each parameter, affect the performance of the system by figures and charts. The model helps one aspect of IoT which is airborne IoT, by considering weather conditions, to find the power-optimal path to achieve maximum performance parameters.
