Temat: wireless localization

Skocz do pozycji: 1.

Tytuł:: Wireless Capsule Endoscope Localization with Phase Detection Algorithm and Simplified Human Body Model
Autorzy:: Oleksy, Paweł
Januszkiewicz, Łukasz
Tematy:: wireless endoscope
human body model
wireless localization
wireless communication; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/226699.pdf Link otwiera się w nowym oknie
Opis:: Wireless endoscopic capsules can transmit the picture of the inside of the digestive tract to the external receiver for the purpose of gastrointestinal diseases diagnose. The localization of the capsule is needed to correlate the picture of detected anomalies with the particular fragment of intestine. For this purpose, the analysis of wireless transmission parameters can be applied. Such methods are affected by the impact of the human body on the electromagnetic wave propagation that is specific to the anatomy of individual person. The article presents the algorithm of localization of endoscopic capsules with wireless transmitter based on the detection of phase difference of received signals. The proposed algorithm uses simplified human body models that can change their dielectric properties in each iteration to improve the location of the capsule endoscope. Such approach allows to reduce localization error by around 12 mm (15%) and can by used for patients of different physique without the need of the numerical models of individual body.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 2.

Tytuł:: Czasoprzestrzenna lokalizacja węzłów bezprzewodowych sieci sensorowych
Time-space localization of Wireless Sensor Networks nodes
Autorzy:: Pogwizd, Grzegorz
Opis:: Praca prezentuje protokół lokalizacji czasoprzestrzennej, którego przeprowadzenie dla zadanej bezprzewodowej sieci sensorowej umożliwia lokalizację w czasie i przestrzeni wszystkich węzłów tej sieci, czyli określenie ich aktualnego położenia w przestrzeni oraz ich bieżącego zsynchronizowanego z wzorcowym czasu. Praca prezentuje wykorzystane w protokole metody synchronizacji i pozycjonowania węzłów oraz algorytm lokalizacji czasoprzestrzennej. Zaprezentowane zostały także założenia, przebieg oraz wyniki i wnioski z przeprowadzonej symulacji przebiegu tego protokołu, mającej na celu test jego działania i efektywności.
The paper presents time-space localization protocol, execution of which for a given Wireless Sensor Network allows locating all nodes of this network in space and time, which is determining their current location in space and their current synchronized with the reference time. The paper presents methods of synchronization and positioning of nodes used in the protocol and the time-space localization algorithm. Also presented are the assumptions, course, results and conclusions from the simulation run of this protocol, designed to test its operation and efficiency.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

Inne

na półce

Skocz do pozycji: 3.

Tytuł:: Localization technique of IoT Nodes Using Artificial Neural Networks (ANN)
Autorzy:: Krupanek, Beata
Bogacz, Ryszard
Tematy:: wireless networks
node localization
location errors
WSN
IoT
neural networks; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/1844456.pdf Link otwiera się w nowym oknie
Opis:: One of the ways to improve calculations related to determining the position of a node in the IoT measurement system is to use artificial neural networks (ANN) to calculate coordinates. The method described in the article is based on the measurement of the RSSI (Received Signal Strength Indicator), which value is then processed by the neural network. Hence, the proposed system works in two stages. In the first stage, RSSI coefficient samples are taken, and then the node location is determined on an ongoing basis. Coordinates anchor nodes (i.e. sensors with fixed and previously known positions) and the matrix of RSSI coefficients are used in the learning process of the neural network. Then the RSSI matrix determined for the system in which the nodes with unknown positions are located is fed into the neural network inputs. The result of the work is a system and algorithm that allows determining the location of the object without processing data separately in nodes with low computational performance.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 4.

Tytuł:: Wykorzystanie pomiaru mocy sygnału radiowego do lokalizacji robota mobilnego
Using the measurement of signal straight of radio vaves for the localization of a mobile robot
Autorzy:: Nowacki, J.
Dąbkowski, M.
Tematy:: lokalizacja
robot mobilny
komunikacja bezprzewodowa
localization
mobile robot
wireless communication; Pokaż więcej
Wydawca:: Politechnika Gdańska. Wydział Elektrotechniki i Automatyki
Powiązania:: https://bibliotekanauki.pl/articles/268880.pdf Link otwiera się w nowym oknie
Opis:: Jednym z podstawowych problemów współczesnej robotyki jest określenie położenia, zwane także lokalizacją. Rozwój techniki przyniósł wiele różnych sposobów wykonywania tej czynności, lecz systemy te mają wciąż wiele ograniczeń. W niniejszym artykule przedstawiono system lokalizacji zaprojektowany na potrzeby zastosowania w robotach mobilnych. Wykorzystywany jest w nim system komunikacji radiowej, a ściślej pomiar mocy odebranego sygnału radiowego do pomiaru odległości. Położenie obiektu mobilnego określane z pomocą trilateracji. Przedstawiona metoda jest uniwersalna i może zostać zastosowana z użyciem większości współczesnych urządzeń radiowych.
One of the major problems of the modern robotics is an estimation of the position, known also as the localization. The development of technology brought lots of different ways of this activity, however, the mentioned systems still have many limitations. The paper mentions a localization system established in order to be used in the mobile robots. The system makes use of radio waves or to be more precise measurement of the received signal strength for the measurement of the distance. The location of the mobile object is defined on the basis of the trilateration. The method presented is highly versatile and can be introduced with use of most of the contemporary radio equipment.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 5.

Tytuł:: Multiobjective Approach to Localization in Wireless Sensor Networks
Autorzy:: Marks, M.
Niewiadomska-Szynkiewicz, E.
Tematy:: ad hoc networks
localization
simulated annealing
stochastic optimization
wireless sensor network; Pokaż więcej
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:: https://bibliotekanauki.pl/articles/309060.pdf Link otwiera się w nowym oknie
Opis:: Wireless sensor network localization is a complex problem that can be solved using different types of methods and algorithms. Nowadays, it is a popular research topic. What becomes obvious is that there are several criteria which are essential when we consider wireless sensor networks. Our objective is to determine accurate estimates of nodes location under the constraints for hardware cost, energy consumption and computation capabilities. In this paper the application of stochastic optimization for performing localization of nodes is discussed. We describe two phase scheme that uses a combination of the trilateration method, along with the simulated annealing optimization algorithm. We investigate two variants of our technique, i.e., centralized and distributed. The attention is paid to the convergence of our algorithm for different network topologies and trade-off between its efficiency and localization accuracy.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 6.

Tytuł:: Optimized Acoustic Localization with SRP-PHAT for Monitoring in Distributed Sensor Networks
Autorzy:: Astapov, S.
Berdnikova, J.
Preden, J.-S.
Tematy:: acoustic localization
wireless sensor networks
direction of arrival
multilateration
SRP-PHAT; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/226808.pdf Link otwiera się w nowym oknie
Opis:: Acoustic localization by means of sensor arrays has a variety of applications, from conference telephony to environment monitoring. Many of these tasks are appealing for implementation on embedded systems, however large dataflows and computational complexity of multi-channel signal processing impede the development of such systems. This paper proposes a method of acoustic localization targeted for distributed systems, such as Wireless Sensor Networks (WSN). The method builds on an optimized localization algorithm of Steered Response Power with Phase Transform (SRP-PHAT) and simplifies it further by reducing the initial search region, in which the sound source is contained. The sensor array is partitioned into sub-blocks, which may be implemented as independent nodes of WSN. For the region reduction two approaches are handled. One is based on Direction of Arrival estimation and the other – on multilateration. Both approaches are tested on real signals for speaker localization and industrial machinery monitoring applications. Experiment results indicate the method’s potency in both these tasks.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 7.

Tytuł:: Overcoming Localization Errors due to Node Power Drooping in a Wireless Sensor Network
Autorzy:: Khan, S. A.
Daachi, B.
Djouani, K.
Tematy:: wireless sensor networks
RSSI
localization
range-free scheme
energy considerations
neural networks; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/226280.pdf Link otwiera się w nowym oknie
Opis:: Received Signal Strength Indication (RSSI) plays a vital role in the range-free localization of sensor nodes in a wireless sensor network and a good amount of research has been made in this regard. One important factor is the battery voltage of the nodes (i.e., the MICAz sensors) which is not taken into account in the existing literature. As battery voltage level performs an indispensable role for the position estimation of sensor nodes through anchor nodes therefore, in this paper, we take into a account this crucial factor and propose an algorithm that overcomes the problem of decaying battery. We show the results, in terms of more precise localization of sensor nodes through simulation. This work is an extension to [1] and now we also use neural network to overcome the localization errors generated due to gradual battery voltage drooping.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 8.

Tytuł:: Localization in Wireless Sensor Networks Using Heuristic Optimization Techniques
Autorzy:: Niewiadomska-Szynkiewicz, E.
Marks, M.
Kamola, M.
Tematy:: evolutionary strategy
genetic algorithm
localization
location systems
nonconvex optimization
simulated annealing
wireless sensor network; Pokaż więcej
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:: https://bibliotekanauki.pl/articles/308429.pdf Link otwiera się w nowym oknie
Opis:: Many applications of wireless sensor networks (WSN) require information about the geographic location of each sensor node. Devices that form WSN are expected to be remotely deployed in large numbers in a sensing field, and to self-organize to perform sensing and acting task. The goal of localization is to assign geographic coordinates to each device with unknown position in the deployment area. Recently, the popular strategy is to apply optimization algorithms to solve the localization problem. In this paper, we address issues associated with the application of heuristic techniques to accurate localization of nodes in a WSN system. We survey and discuss the location systems based on simulated annealing, genetic algorithms and evolutionary strategies. Finally, we describe and evaluate our methods that combine trilateration and heuristic optimization.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 9.

Tytuł:: A new method for localization of wireless sensor networks based on path planning of mobile robots
Autorzy:: Ashoori, E
Babagoli, I
Alipour, S
Tematy:: sensor nodes
localization
global positioning system (GPS)
wireless sensor network (WSN)
graph theory; Pokaż więcej
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Powiązania:: https://bibliotekanauki.pl/articles/102577.pdf Link otwiera się w nowym oknie
Opis:: With an explosive growth of wireless sensor networks (WSN), many of their features and applications have become important. Localization of sensor nodes is one of the most important problems in WSN whose accuracy has a very large impact on its performance. Global positioning system (GPS) is a well-known and powerful way which differentiates methods of its use on each node individually. But, because of high energy consuming and processing GPS, it is inappropriate for WSNs. Different algorithms are suggested to overcome the consumed cost of GPS by putting GPS on only some nodes instead of all nodes in the network for localization. So, for nodes localization, just a number of nodes exploit GPS and, they can help other nodes of network in localization via distribution of their coordinates. The use of a mobile robot to send signals to coordinate the target node localization is a good idea. The mobile robot should move in the right path and can localize node more accurately at lower cost. This paper proposes a new method to localize all nodes through some localized nodes based on graph theory in a tree and network topology. The proposed method provides better performance at the cost of accuracy and the number of nodes that can be made up of local consumption.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 10.

Tytuł:: Optimization schemes for wireless sensor network localization
Autorzy:: Niewiadomska-Szynkiewicz, E.
Marks, M.
Tematy:: sieć bezprzewodowa
sieć sensorowa
lokalizacja
optymalizacja stochastyczna
wyżarzanie symulowane
wireless sensor networks
localization
stochastic optimization
simulated annealing; Pokaż więcej
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Powiązania:: https://bibliotekanauki.pl/articles/907665.pdf Link otwiera się w nowym oknie
Opis:: Many applications of wireless sensor networks (WSN) require information about the geographical location of each sensor node. Self-organization and localization capabilities are one of the most important requirements in sensor networks. This paper provides an overview of centralized distance-based algorithms for estimating the positions of nodes in a sensor network. We discuss and compare three approaches: semidefinite programming, simulated annealing and two-phase stochastic optimization-a hybrid scheme that we have proposed. We analyze the properties of all listed methods and report the results of numerical tests. Particular attention is paid to our technique-the two-phase method-that uses a combination of trilateration, and stochastic optimization for performing sensor localization. We describe its performance in the case of centralized and distributed implementations.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Informacja

Wyszukujesz frazę "wireless localization" wg kryterium: Temat