Nowadays, expensive space devices are created and sent for examination of different bodies in our Solar System. It must be considered that instead of some very expensive devices, lot of cheap devices should be sent to the surface of a planet or planetoid. The sensors make some measurement and send the results to central equipment on an autonomous way. In this work, my aim was to examine how to follow and control the movement of the sensor network without losing the connection with any sensor. Moreover, I analyzed the effect of variant aboveground events (e.g., dust storm) on this network.
The supposed sensors can make measurements and take photos. For efficient mapping, it is necessary that the sensors are able to move, expanded the given examined area. The knowledge of measurements’ position is necessary for the data processing, in order to get accurate image for the surface of planet. For this reason, the sensors have to follow the movements of the devices that can be estimated based on the triangulation method that is proposed in my work. I examined two more extended positioning algorithms using simulation methods. I have analyzed the factors influencing the accuracy of positioning and the different algorithms.
However, the positioning ability of an algorithm is not effective if it includes unrealistic large energy consumption. This is why the examination of energy efficiency has been in focus in the second part of my current work. My aim was to get valid image about the performance of the developed algorithms. I constructed a joint model of positioning, energy management environmental conditions and built into my developed C++ simulation to compare the efficiency of positioning algorithms and the energy consumption of the sensor network.