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Estimating the location of sensor nodes in wireless sensor networks is a fundamental requirement in a variety of sensing applications. In large scale dense deployments where the area covered by sensor nodes is very large, it is impossible to localize all sensor nodes using single-hop localization techniques. A solution to this problem is to use a multi-hop localization technique to estimate sensor...
Most of the current research into indoor localization has surrounded the problem of positioning accuracy, with attempts to solve this using a myriad of technologies and algorithms. One of the problems that seems to be somewhat overlooked is the issue of coverage in an indoor localization solution. The mostly unobstructed views of the Global Positioning System (GPS) which requires a mere 30 satellites...
In this paper, we investigate the benefit of inter-node collaboration in multidimensional location estimation under nonline-of-sight signal propagation conditions using time-of-arrival range observations. Specifically, for a network of arbitrary size, we establish the value of collaboration for node positioning by proving that the inclusion of an additional collaborator strictly reduces the Cramér-Rao...
This paper proposes a RF ranging scheme for narrowband FSK-based WPAN systems in TV white space. By estimating a symbol transition timing of FSK signal during preamble at the receiver, an accurate timing for ranging can be achieved. Simulation result verifies that the proposed ranging scheme shows ± 20m ranging accuracy satisfying TVWS geolocation requirements.
Alternative Position, Navigation, Time (APNT) service is gradually on the rise to maintain safety, and minimize economic impacts from GNSS interference outages within the airspace system. As a result, anti-interference ranging methods are urgently needed in APNT systems. Fast frequency hopping technology can provide strong resistance to radio interference for APNT systems. However, it is hard to get...
The most commonly implemented Indoor Location Based Solution uses existing Wi-Fi network components to locate devices within its range. While this technique offers obvious economic rewards by utilizing a preinstalled infrastructure, these network topologies were typically designed to provide network coverage to mobile devices rather than deliver an Indoor Location Based Solution. Large areas without...
Human indoor localization was previously implemented using wireless sensor networks at the cost of sensing infrastructure deployment. Motivated by high density of smartphones in public spaces, we propose to use a robot-assisted localization system in which the low-cost Kinect sensor and smartphone-based acoustic relative ranging are used to localize moving human targets in indoor environments. An...
We analyse the problem of performing wireless localization with Golomb-optimized multipoint ranging between a target and multiple receivers efficiently and accurately. The ranging algorithm we developed in [1] is utilized by adapting superresolution techniques to the ranging problem, using phase-difference of arrival (PDoA). The algorithm handles multipoint ranging efficiently by employing an orthogonalized...
There are some common problems, such as low location accuracy and low sampling efficiency, existing in the present node localization algorithms that are based on Monte Carlo Localization (MCL) in mobile wireless sensor networks. To improve these issues, a Monte Carlo box localization algorithm based on RSSI(MCBBR) is proposed in this paper. In the algorithm, sampling box was constructed through RSSI...
This paper presents an investigative study of the ranging capabilities of a miniature tapered-slot UWB antenna and an analysis of the influence of the human body on the accuracy of range estimates. The study involves determining how precisely the point-to-point distance between two identical tapered-slot antennas can be deduced through the signal Time-of-Flight from the transmitting antenna to the...
In this paper, we introduce a set of sensor networks, called the cascading quadrilateral network, and study how to compute the positions of its nodes in a cooperative way. We investigate the condition for determining whether all the sensor nodes are localizable. If not, we provide a method to detect the un-localizable nodes for the whole network. The necessary and sufficient conditions for the network...
Recent advancements in micro electro mechanical system and wireless communication have made it possible to use wireless sensor nodes for many real world applications. Wireless sensor nodes are widely been used now a days in many tracking and monitoring problems such as vehicle tracking, environmental and health monitoring. It is one of the most challenging problems to find the geographic locations...
When there are more than necessary distance measurements in localization by distance measurements with closed form estimators, forming smaller subgroups of measurements and averaging the location estimates obtained with these subgroups of measurements makes it possible to eliminate outlier measurements if they are present. In order to eliminate these outlier results, the nearest estimate to the geometric...
The research is focused on depth evaluation using a single camera. 2D images can be used for finding the depth of a particular object in the image. Algorithm uses marker(s) to update its orientation and to compute the distance. Initially the shape of the marker is fixed and is pre-defined but as the research expands improvements will make the algorithm to work autonomously using everyday objects as...
Location based services (LBSs) have raised serious privacy concerns in the society, due to the possibility of leaking a mobile user's location information in enabling location-dependent services. While existing location-privacy studies are mainly focused on preventing the leakage of user's location in accessing the LBS server, the possible privacy leakage during the localization process has been largely...
Ranging accuracy and reliability is crucial for any cooperative- and non-cooperative positioning system applied for unmanned vehicle localization, and formation estimation. State of the art systems exploit received signal strength (RSS) from WiFi devices, or ultra-wide bandwidth (UWB) timing based range estimation. RSS proved to be unreliable in environments with multipath, and UWB combats multipath...
In many localization systems, the Mobile Node (MN) takes distance measurements with reference nodes called Anchors (ANs) in order to estimate its position. In general, the MN can obtain a better estimation when it takes measurements with multiple ANs. Unfortunately, this can lead to consume more energy and generate more traffic in the network. In this paper, we present an adaptive mechanism for the...
A large number of indoor positioning systems are based on sensor networks or WLAN ranging techniques with a filter to remove the positioning uncertainty coming from the ranging errors. Bayesian filter has emerged as a useful approach for sequential position estimation, which generally resorts to a numerical solution due to the nonlinearity and the non-Gaussian nature of mobile positioning. The accuracy...
In this paper a concept for an energy-efficient multi-frequency localization system is proposed. The system design aims at extremely light-weight, and thus energy-efficient tags. The localization system is realized by a Wireless Sensor Network comprising signal strength and phase measurements. The concept is based on signals for phase-based ranging. The proposed signals have to meet several constraints:...
Estimating the location of sensor nodes in wireless sensor networks is a fundamental problem, as sensor node locations play a critical role in a variety of applications. In many cases the area covered is very large making it impossible to localize all sensor nodes using single-hop localization techniques. A solution to this problem is to use a multi-hop localization technique to estimate sensor node...
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