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Proposed in this paper is a wireless sensor network source localization algorithm in the three-dimensional space. By using the measurements of the received signal strength (RSS), two closed-form none-ambiguous estimators are proposed to geometrically locate the source position under the shadowing noise in the wireless channel. The dynamic adjustment scheme has been applied in the localization algorithm...
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 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...
The localization of sensor node is one of the key issues for sensor network systems. Therefore, several localization systems to obtain precise location information have been researched. However, they need completely configured space using a large number of anchor nodes of which location are well known, and are not suitable for sensor networks. To avoid the problems, we proposed the node localization...
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...
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...
In this paper a novel ranging technique based on received signal strength (RSS) and suitable to indoor scenarios is illustrated. The proposed technique improves the quality of RSS- based estimation of an anchor-target distance processing multiple power measurements associated with the signals radiated by a cluster of nodes surrounding the target. Specific algorithms for the generation of a cluster...
Localization is the process of finding the geometric locations of wireless sensor nodes according to some real or virtual coordinate system. It is an important task when direct measurements of the wireless sensor locations are not available. From the various techniques evolved in localizing sensor nodes, one approach is to use the received signal strength to predict the location of unknown sensing...
Recently, Ultra Wideband (UWB) Time Of Arrival (ToA)-based localization in Wireless Sensor Networks (WSNs) have received considerable attention. For a typical WSN operating in indoor environments, the localization performance can be degraded considerably due to the existence of non-line-of-sight (NLOS) channel conditions between the sensor nodes. In these channel conditions the ranging accuracy is...
Wireless geolocation problems based on received signal strength (RSS) are discussed in this paper. Using the maximum likelihood based range estimates, a new distributed and iterative linear combination location estimator is proposed. In a non-cooperative case where unknown-location (blindfolded) devices only utilize the power measurements from known-location devices (anchors), the proposed algorithm...
In order to suppress effectively the effects of RSSI error to wireless sensor networks node localizationpsilas precision, individual diversity difference coefficient, distance difference coefficient and distance difference localization equation is defined based on the analysis of the models of maximum likelihood estimation and RSSI. The closest beaconing node to object node as reference node corrects...
Received signal strength (RSS) has been attractive for localization in wireless sensor network (WSN) for simplicity and cost. It is one of the simplest methods for ranging. However, in wireless communication channel, especially in indoor communication, the received signal is much fluctuated by multipath fading and shadowing problem. These causes make RSS measurement incur more errors and consequentially...
In source localization, one estimates the location of a source using a variety of relative position information. Many algorithms use certain powers of distances to effect localization. In practice, exact distance measurement is not directly available and must be estimated from information such as received signal strength (RSS), time of arrival, or time difference of arrival. This letter considers...
Location techniques are crucial in many engineering and medical applications. The paper attempts to assess sensor network localization techniques in an indoor environment based on range measurements. As the range measurements are often subject to errors due to sensor and environment. Different methods may result in different positioning performance. In the paper, several localization techniques are...
The application of wireless sensor network (WSN) is always restricted by the energy shortage of sensor nodes. In order to reduce the entire energy consumption of the WSN, a promising approach is to design light clustering algorithms. LEACH is such a well-known clustering algorithm that was designed to distribute the energy consumption to nodes in the WSN evenly. LEACH is characterized by its attractive...
In traditional tracking systems, the mobiles report their locations periodically. With the number of the mobiles increasing, these methods result in high loss rate of packets and rapid depletion of the network energy. In practice, we observe that some mobiles are so close to each other that we are informed the same location from the localization algorithm. Thus it is necessary and possible to reduce...
In this paper we propose the use of a weighted least squares estimator to calculate the position of a mobile node in RSS-based localization systems for ad hoc networks. This technique outperforms the traditional positioning algorithms in terms of localization accuracy and robustness to inaccuracy in the channel model. The performance of the method is shown both through numerical simulations and through...
In source localization one estimates the location of a source using a variety of relative position information. Many algorithms use certain powers of distances to effect localization. In practice, such distances are not directly available but must be deduced from information such as received signal strength (RSS) or time difference of arrival. This paper considers bias and variance issues in estimating...
Recently, study on RF ranging technique has actively been carried out to realize a sensor network system or a localization system. Among such studies, a major portion of researches have been adopting the received signal strength (RSS) as a main measurement method; however, such a measurement method has some limitation and problem in the aspect of performance as well as efficiency. Furthermore, even...
A novel localization algorithm for wireless sensor networks (WSN) is presented. It establishes an interval mapping between the received signal strength (RSS) and the distance on the basis of the log-normal shadowing model and the "3 sigma " principle of normal distribution. With this interval mapping, the radio range is divided into several intervals and an unknown node is able to know which...
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