Unmanned Mobile Fleet Application with Sensor Networks

Wireless sensor networks are created using low cost, low power sensor nodes to collect useful information from a targeted environment in various applications. Location estimation is one of the areas where these networks can be exploited. Main aim of this study is to control a fleet via wireless sensor networks that only leader vehicle has human control. There are three GPS integrated vehicles in this experimental study. Naturally, location informations of these vehicles will be known. Moreover another vehicle can estimate its location according to those three vehicles via Trilateration method with the help of RSSI technique. Cramer-Rao, Tulip and Least Mean Square methods will be applied to trilateration and results of those methods will be compared. Communication quality, calculation time and speed synchronization will be other factors which affects in experimental study in addition to simulation factors.