Reliable and Cooperative Target Tracking Based on WSN and WiFi in Indoor Wireless Networks

Indoor localization and tracking have attracted growing attention because of its widely application for indoor location-based services (LBSs). However, for indoor localization, only with single positioning technology, the positioning accuracy, and localizability are difficult to satisfy the requirement due to the complex and crowed indoor environment. An indoor cooperative localization and tracking algorithm (CLTA) based on grid is developed to solve above problems. The CLTA is divided into offline phase and online phase. In the offline phase, a cooperative localization fingerprint database is established based on reliable nodes. In the online phase, a region overlapping mechanism is used to narrow location area in multi-network surroundings at first. Then, we use a prediction mechanism to predict the mobile target position in order to further narrow the location area. At last, a cross grid strategy is used to update the data in fingerprint database if possible, aiming at improving the accuracy of localization. Simulation and experiment results show that the proposed algorithm is better than single network localization algorithm on localization and tracking performance.