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This paper develops a ZigBee indoor positioning scheme based on the location fingerprinting approach. The proposed scheme includes four workflows: (1) creating the location fingerprint table, (2) training the locating model using neural network (NN), (3) preprocessing data through the Signal-Index-Pair method, and (4) estimating the coordinate of the mobile target instantly. Testing results show that within the error distance of 5 meters, the NN locating model with the Signal-Index-Pair data preprocess method can increase the positioning precision by 17% compared with the original NN, in terms of the cumulative error probability (CEP). It also achieves 5% CEP higher than the k (k=5) nearest neighbor method and the weighted k (k=5) nearest neighbor method. Potential applications include patient tracking in hospitals, object tracking for factory monitoring, self-navigation of autonomous robots, and visitors monitoring in military buildings, and so on.

Based on ZigBee, DSP, and Web Services, this paper proposes a distributed power monitoring and control platform (PMCP) with easy-deployment and flexible-extension considerations. Specifically, a type of wireless power monitoring module (WPMM) is designed for easily deploying the point monitoring points. In the WPMM, a DSP module is designed to rapidly compute power parameters and implement power quality detection mechanisms on demand. Also, the WPMM includes a ZigBee router for wirelessly delivering power information messages. In addition, a remote monitoring and control system (RMCS) is constructed to host the major functional components of the power monitoring and control system. All functions of RMCS except GUI are constructed in the form of Web Services such that the client users or applications are able to easily access or integrate these functions using open Internet protocols. Thus, the monitoring range of the PMCP can be flexibly extended in a wireless manner and through Internet. Finally, several experiments are conducted to validate the effectiveness of the proposed PMCP.