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As some public buildings have become large in spatial scale, people find it more and more difficult to know their actual location in these buildings. Generally in the indoor environment, to get location information is relatively more complex than that in the outdoor environment, for traditional outdoor localization methods do not perform well in indoor environment. Under this circumstances, image...
The fingerprinting method based on Received Signal Strength (RSS) in localization has been drawing great attention these days due to the popularity of WLAN and mobile devices. However, this method usually requires tremendous time and efforts in building the fingerprinting map in the offline phase. In this paper, we propose a fast radio map building method utilizing the floor plan of the localization...
According to the problem of agglomeration effect of Graph-based Semi-Supervised Learning (G-SSL), this paper studies a Distance-aware Graph-based Semi-supervised Learning (DG-SSL) algorithm, which reduces the agglomeration effect of G-SSL, and holds smaller average estimation error. When compared with the K nearest neighbors (KNN) algorithm, moreover, the DG-SS algorithm can achieve better positioning...
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...
This paper investigates the problem of network selection in access control for heterogeneous networks of WCDMA/WLAN. To optimize the network selection decision policy, an optimization equation is defined with the objective of maximizing the total rewards, and then a new Q-learning Based Network Selection (QBNS) mechanism is proposed to solve the equation. In the QBNS Algorithm, Q-learning algorithm...
Vehicular communication, as a novel fundamental platform for providing wireless access, is drawing more and more attentions in recent years. IEEE 802.11p is a main radio access technology which supports communication for high mobility terminals. Due to the small coverage, road side unit (RSU) is usually deployed coupling with cellular network to achieve seamless mobility. In cellular/802.11p heterogeneous...
Wireless local networks (WLANs) that contain a high-density of access points (APs) are being deployed rapidly all around the world, where large numbers of idle APs exist. In this paper, a optimization for the deployment and transmitting power of AP is proposed in order to save energy and reduce frequency interference. It includes green AP clustering where Fuzzy K-mean algorithm is used, AP's second...
As a very popular positioning system, WLAN positioning attracts widely researches and investigations throughout the world. It implements the fingerprint technique to realize indoor navigation. The fingerprinting technique which employs the KNN algorithm has to make use of RSS (Received Signal Strength) from the Access Points (APs) without any classification. However, not all of the APs provide the...
A novel indoor location algorithm based on dynamic Radio Maps construction in wireless local area network (WLAN) is proposed. The limitation of previous static Radio Map method is that reconstruction work must be taken to adapt the variation of indoor wireless environment. By taking received signal strength (RSS) values varying over time and space into account, a dynamic Radio Map is constructed to...
With the development smart pipe, in recent years, the PCC architecture attracts more and more attention. In this paper, firstly, it analyzes the existing standardized architecture based on the PCC, and the research of QoE at home and abroad, and then points out of the existing shortcomings in the PCC architecture; Secondly, it introduces QoE to the PCC architecture QoE innovatively, and proposes the...
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...
To begin with, for indoor location system, the necessity of research on genetic neural network and its math model are introduced. Then, by analyzing principle of genetic optimized artificial neural network, an indoor location math model of genetic neural network is established. As for various coding types, regularity is taken as the measurement to determine the best coding type for parameter optimization...
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...
WLAN Indoor tracking system is presented based on the comparison between the off-line pre-stored Radio-map and new recorded signal strength in the on-line phase to estimate user's motion trajectory. Furthermore, the improved particle filter tracking algorithm that consists of the particles-reference points (P-RPs) transferring for getting the likelihood function and velocity estimation from the ANN...
The paper presents a fuzzy neural network with radial basis function (RBF) to apply on WLAN indoor location, effectively reducing the cost of indoor location, enhancing real-time indoor location, greatly improving indoor location accuracy. Through the equivalent theorem, the fuzzy inference system and the RBF neural network are combined and form a fuzzy RBF neural network system, which takes advantage...
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...
As a fingerprint match method, k-nearest neighbors (KNN) has been widely applied for indoor location in Wireless Local Area Networks (WLAN), but its performance is sensitive to number of neighbors k and positions of reference points (RPs). So fuzzy c-means (FCM) clustering algorithm is applied to improve KNN, which is the KNN-FCM hybrid algorithm presented in this paper. In the proposed algorithm,...
This paper proposes the WiFi indoor location determination method based on adaptive neuro-fuzzy inference system (ANFIS) with principal component analysis (PCA). It reduces the WiFi signal vectors dimensions and saves the storage cost and simplifies the fuzzy rules generated by subtractive clustering method for ANFIS training. In the off-line phase, the received signal strength (RSS) or signal to...
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