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This paper aims at the problem of large amounts of realtime data transmission in indoor WLAN positioning. We propose a method that we use the BP network to compress at the sending end, and then save the weight. The method reconstructs data in the terminal, which greatly reduces the amount of data in real-time transmission to ensure the fast and effective of real-time positioning. The used simulation...
Much attention has been paid to WLAN indoor positioning algorithm for its high accuracy and low cost to meet the location based services (LBS). This paper proposes a novel positioning algorithm based on positioning characteristics extraction in WLAN indoor environment. Each RSS signal from an individual access point is taken as input of the RBF neural networks to establish the mapping between RSS...
This paper proposes the optimal K nearest neighbors (KNN) positioning algorithm via theoretical accuracy criterion (TAC) in wireless LAN (WLAN) indoor environment. As far as we know, although the KNN algorithm is widely utilized as one of the typical distance dependent positioning algorithms, the optimal selection of neighboring reference points (RPs) involved in KNN has not been significantly analyzed...
This paper presents the optimal networking strategy based on signal coverage requirement in wireless local area network (WLAN) indoor location environment. Up to now, much attention has been paid for the improvement of various positioning algorithms to guarantee the location efficiency in WLAN environment. However, the layout of access points (APs) and corresponding topological structures also significantly...
With the development of positioning in indoor wireless environments, RSS-based indoor positioning algorithm has been widely applied. Compared with other indoor positioning algorithms, the greatest advantage of RSS-based is that it can be configured easily and can get the signal strength from various types of networks that support the 802.11 protocol. Furthermore, it doesn't need complex clock synchronization...
Neural network optimized by genetic algorithm (GA) based WLAN indoor location method is proposed. GA based artificial neural network (GA-ANN) method can effectively reduce the storage cost, enhance real-time ability, and greatly improves the accuracy of indoor location. By analyzing the inherent shortage in neural network when applying in indoor environment, make use of genetic algorithm to encode...
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