Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
The paper presents a application of wireless sensor network used to diagnose the efficiency of AC electrical machines. It explains the functions of the cell and the constraints which makes it a real tool for industry. The key point of the energy diagnosis consists in determining the electromagnetic torque in steady state, taking into account only the indications of the rating plate and without measuring...
This paper deals with the modeling of radiochannel propagation characteristics of wireless sensor networks in a hybrid indoor/outdoor environment. In order to perform radioplanning calculations, in house empirical models as well as full 3D raytracing algorithms have been implemented. The results aid in optimal layout of the hybrid network configuration.
Several researches have been undertaken to assist and help handicapped and elderly people to gain mobility and lead to independent life and particularly those related to smart wheelchairs. In this direction, a localization function can be considered as the main process improving performances in terms of autonomy and mobility. Thus, making a wheelchair intelligent and autonomous allows us to develop...
The demand for unattended aerial aystems capable of fulfilling e.g. surveillance tasks in contaminated or inaccessible areas without assistance of a human pilot is the motivation for the investigation of a high precision position estimation system and an autonomous landing algorithm. Hence, this paper describes the development of a wireless sensor network (WSN) based system able to locate a quadrocopter...
The performance of point-to-point routing protocols is limited by a trade-off between routing state and routing stretch. A wireless sensor network (WSN) designer can choose from a whole spectrum of routing techniques that exploit this trade-off at varying granularity. We aim to make such choices more informed; our contributions are twofold. First, we present the first point-to-point routing framework...
The problem of localizing an uncooperative target using binary observations and without the knowledge of the propagation model is considered. Three new estimators for the location of the target are utilized. Their performance, in the MSE sense, is studied analytically and through simulations. Results show that these estimators significantly outperform the existing approach.
This paper discusses an energy constrained distributed estimation in wireless sensor network (WSN) based on frequency and time division multiple access (FTDMA). In a measurement with WSN, sensors transmit observed quantized data to a fusion center (FC) via radio communication channels, to obtain a final estimate. Such systems require a multiple access technique such as time division multiple access,...
The localization principle and error source of DV-Hop algorithm which is classic self-localization algorithm in wireless network are introduced in this paper. Aiming at the disadvantage of DV-Hop algorithm on localization accuracy, an improved scheme by modifying the average hop distance is proposed. The simulation results show that the comprehensive properties of the improved algorithm (including...
We extend our work in vehicle classification. Our system is based on a low complexity wireless sensor network. The system consists of a low power microprocessor together with AMR magnetic sensors and an RF transceiver. Two AMR magnetic sensors are employed to extracts dominant low-complexity features including vehicle count, speed, length, Hill-pattern peaks, and normalized energy. These features...
Efficient estimation of global information is a common requirement for many wireless sensor network applications. Examples include counting the number of nodes alive in the network and measuring the scale of physically correlated events. These tasks must be accomplished at extremely low overhead due to the severe resource limitation of sensor nodes, which poses a challenge for large-scale sensor networks...
It is a very important and challenging task to localize an audio-source in wireless sensor networks (WSNs). One of efficient methods for audio-source localization is the so-called time difference of arrival (TDOA) based approach. In this paper, we propose a novel localization method based on Generalized Cross Correlation-Genetic Algorithm (GCC-GA). It utilizes GCC method to calculate the TDOA and...
Radio signal-based localization and mapping is becoming more interesting as applications involving the collaboration between robots and static wireless devices are more common. Under certain assumptions, the problem is basically equivalent to the range-only localization and mapping problem. The paper presents a method for mapping with a mobile robot the position of a set of nodes using radio signal...
In this paper we show the results of an experimental assessment of an indoor localization system based on a Wireless Sensor Network. The estimated position of a target node embedded in the monitored environment is obtained by running of the Relative Span Exponentially Weighted Localization (REWL) algorithm, a novel localization procedure recently proposed in the literature. The inputs of the algorithm...
This paper addresses the problem of joint multi-source localization and environment perception in wireless sensor networks (WSNs) based on received signal strength (RSS). Contrary to the traditional RSS approaches which assume known number of sources and known parameter of environments, we propose to estimate the sources with unknown number and the unknown environmental parameter simultaneously. By...
In this paper, we study one-bit quantizer design for distributed estimation under the minimax criterion for wireless sensor network (WSN) applications. Identical local quantizers are generally difficult to design because of the dependence on the unknown parameter under estimation. Nonidentical local quantizers are more robust in that sense. However, its design generally involves multi-dimensional...
In wireless sensor networks where the nodes are equipped with limited energy sources, energy consumption is a crucial parameter of each part of a node activity. This paper deals with node localization based on received signal strength (RSS). The signal power at receiving node is influenced by several stochastic factors. To eliminate so called RSS uncertainty, several measurements of signal strength...
We deal with positioning of node in wireless sensor network (WSN) using received signal strength (RSS) when there is no priori knowledge about path-loss exponent and transmission power. Since the RSS decreases on the average with distance, it carries some information about the distance to an unknown node. By ordering the RSS's, we conclude that there are some convex sets where the position of the...
We address the issue of self-adaptation of a sensor network with mobile sensors to better observe and track events of interest in an urban scenario. We present middleware called Event-driven Network Controller (ENC) that resides at every sensor node in the network and is independent of the sensor type. ENC translates the requirements of the application layer (focused on improving of the quality of...
This paper investigates time-delay estimation for acoustic source localization in a distributed microphone array. The microphones are assumed to be part of a wireless sensor network, with a constraint on the number of bits that may be exchanged between the sensors. Consequently, at the fusion center, time-delay estimation needs to be performed using quantized signals. In this paper, the relation between...
Upon the occurrence of a phenomenon of interest in a wireless sensor network, multiple sensors may be activated, leading to data implosion and redundancy. Data aggregation and/or fusion techniques exploit spatio-temporal correlation among sensory data to reduce traffic load and mitigate congestion. However, this is often at the expense of loss in Information Quality (IQ) of data that is collected...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.