The Localization Algorithm Based on On-Line Training RSSI in WSNs

The off-line training RSSI localization algorithm is only fit to the position where it has been trained before and whenever the condition of the environment changes, the program in the hardware must be reprogrammed, so the algorithm has a poor adaptability under different environments and leads to a certain limitation to the applications in some projects. Combined with the rough-precision TOA, a new method called on-line training RSSI localization algorithm has been formed. It can adapt to any kinds of conditions and can achieve a more accurate position without a high hardware configuration. The simulation results also show that this algorithm has improved its performance in resistance to the noise.