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Robust received signal strength (RSS)-based cooperative wireless localization using a linear least squares (LLS) method is proposed. We first extend the LLS methods to the cooperative case. To make the proposed algorithm robust, dynamic path loss models are utilized to describe the changing environments; the path loss constants are updated based on the estimated positions of the client nodes. Furthermore,...
Monitoring of the activities of daily living of the elderly at home is widely recognized as useful for detection of new or deteriorated health conditions. However, the accuracy of existing indoor location tracking systems remains unsatisfactory. The aim of this study was therefore to develop a localization system that can identify a patient's real-time location in a home environment with maximum estimation...
Ranging errors are inevitable in all local positioning systems, including those based on Time-of-Flight (ToF) technique. Results of experiments show that the major cause for these errors is a signal degradation from multipath propagation. This effect is especially critical in case of Non-Light-of-Sight (NLOS) conditions. This paper describes causes that affects ranging errors for nanoLOC™-TOF-technology...
In wireless sensor networks, the positioning scheme using the received signal strength (RSS) has been widely considered due to its simplicity. Appropriate estimation of path-loss exponent (PLE) between a sensor node and an anchor node plays a key role in reducing position error in this RSS-based positioning. In the conventional researches, a sensor node directly uses the PLEs given by its neighboring...
Indoor wireless localization has significant importance in wireless network technology and has wide deployment in a real-time indoor people and objects tracking. Location fingerprinting, which is based on received signal strength measurements, is a frequently used approach for indoor applications. In this paper, we examine the localization fingerprinting method through the enhanced well-known Weighted...
Agent localization in indoor wireless environments is a challenging issue. Numerous techniques have been developed. Location fingerprinting, which is based on received signal strength measurements, is a frequently used approach for indoor applications. In this paper, we examine the possibility to obtain the location fingerprinting method characterized with more accurate mapping between the signal-space...
We propose an optimization-based framework to minimize the energy consumption in a sensor network when using an indoor localization system based on the combination of received signal strength (RSS) and pedestrian dead reckoning (PDR). The objective is to find the RSS localization frequency and the number of RSS measurements used at each localization round that jointly minimize the total consumed energy,...
In the wireless sensor networks (WSNs) context, accurate and efficient ranging is an important factor to consider in order to enhance the demand of future emerging location aware applications. To enhance ranging accuracy, processing a large number of ranging samples to reach a true average range estimate is a common strategy at the cost of extra computation. At the same time, due to the noisy background...
Fast and accurate distance measurement is crucial for target tracking and node localization in Wireless Sensor Networks. For short-range Underwater Acoustic Sensor Networks (UASNs), received signal strength (RSS) can give distance between acoustic devices. An extensive study on the application of the Lambert W function over RSS for distance estimation in short-range UASNs shows that it can be done...
In a wireless sensor network nodes can be deployed randomly to collect data from an area of interest. So it is mandatory for each node in the network to be aware of its location in the physical world, in order to map the collected information to the base station. Thus, localization becomes an important technique in sensor networks. Further, power conservation is also an important factor as the nodes...
Location fingerprinting for outdoor areas using existing wireless local area network infrastructure is growing rapidly in importance and gains commercial interests in location-based services. The most challenge in outdoor fingerprint positioning is the fluctuation of received signal strength (RSS). In the paper, we propose a micro-cell-based radio map construction method targeted to deal with the...
Wireless localization using the received signal strength (RSS) can have tremendous savings over using specialized positioning infrastructures. In this work, we explore improving RSS localization performance in multipath environments by varying the transmitter's signal power and frequency. Using a theoretical analysis, we first show how selection of different signal powers and frequencies can improve...
Self-localization is one of the basic problems in wireless sensor networks. In this paper, we propose a new localization algorithm using received signal strength (RSS) with seven anchors in order to balance the complex technology for distance estimation and the accuracy of the localization. First, based entirely on comparison of received signal strength transmitted by mobile anchors, the static nodes...
We propose a performance improvement scheme of location estimation using received signal strength (RSS) method in wireless sensor networks. Reference nodes in sensor networks receive RSS from a target node whose location is unknown, calculate the RSS deviation score, and eliminate the scattered RSS of edge-score. This improves the estimation accuracy which is not high in RSS methods in general. The...
In this paper, a collaborative localization technique based on the direction of estimation (DoE) is proposed. Two directions, border-to-centre B-C and centre-to-border C-B, are investigated and their location accuracies are evaluated. The results show that the B-C method approach outperforms the C-B method based on the root-mean square error (RMSE) and Cramer-Rao bound (CRB). The new B-C DoE method...
Wireless localization has drawn significant attention over the past decade and the received signal strength (RSS) based localization scheme provides a low-cost, low-complexity and easy-implementation solution. When the statistics of the RSS measurement error is known, the Maximum Likelihood (ML) estimator is asymptotically optimal. However, due to the nature of the localization problem itself, the...
Wireless signal propagation in indoor environments is generally affected by various factors such as multi-path fading, temperature and humidity. It is thus challenging to use the simple metric of Received Signal Strength (RSS) for indoor localization. Prior work often requires manual profiling of each indoor environment to achieve good accuracy. We, instead, propose a simple generic localization algorithm...
There are theoretical and empirical RSS-based algorithms proposed and many studies have been made by comparing the performance of these algorithms. However, there is a lack of theoretical basis and understanding on the orientation of vehicles without GPS. This paper presents a model for an orientation-aware location tracking manner for the detections of vehicles using wireless sensors based on IEEE...
In wireless sensor networks (WSN), location estimation is important for routing efficiency and location-aware services. Traditional received signal strength based localizations using propagation-loss model are often erroneous for the low-cost WSN devices. The reason is that the wireless channel is vulnerable to so many factors that deriving the appropriate propagation-loss model for the low cost WSN...
Over the last years tremendous improvements of wireless positioning systems have been achieved. System accuracy has improved drastically and maturity changed from hand-soldered lab demonstrators to commercial products. In parallel applications moved from small, experimental installations to coverage of complete sites. Consequently the research focus shifts away from the positioning core technology...
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