Fuzzy Logic Adaptive Mobile Location Estimation

In this study, we propose a novel mobile tracking scheme which utilizes the fuzzy-based decision making with the consideration of the information such as previous location, moving direction and distance to the base station as well as received signal strength, thereby resulting to the estimation performance even much better than the previous schemes. Our scheme divides a cell into many blocks based on the signal strength and then estimate in stepwise the optimal block where a mobile locates using Multi-Criteria Decision Making (MCDM). Through numerical results, we show that our proposed mobile tracking method provides a better performance than the conventional method using the received signal strength.