Wireless sensor network approach for robust localization of mobile nodes with minimal complexity

Michel, Juan Carlos Fuentes; Vossiek, Martin

doi:10.1007/s00502-008-0573-5

Cited by 4 publications

(1 citation statement)

References 15 publications

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“…Hardware Design. WSN is a network which is composed by a large number of sensor nodes with low cost, the ability of sensing, data processing and wireless communication through self-organization [4,5]. It includes sensor nodes, sink nodes and base station typically.…”

Section: System Designmentioning

confidence: 99%

Design of Greenhouse Wireless Sensor Network Control System Based on Fuzzy Neural Network

Zhang

Wang

Huang

et al. 2011

KEM

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This paper proposed a greenhouse control system utilizing wireless sensor network (WSN) to overcome the wiring difficulties and poor mobility in the application of traditional cable-used control systems. Each wireless sensor node in the WSN collects the environmental data of temperature, humidity and CO2 concentration, and transmits the data to the control center via the sink nodes. A fuzzy neural network with three inputs and six outputs was designed to improve the control accuracy. By analyzing the relationship between the mentioned environmental factors above and the actuators of the system, a fuzzy rule was made and combined with the neural network. The simulation results showed that the proposed method could respond in a short time with high accuracy, and had small overshoot as well as good stability.

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Section: System Designmentioning

confidence: 99%

Design of Greenhouse Wireless Sensor Network Control System Based on Fuzzy Neural Network

Zhang

Wang

Huang

et al. 2011

KEM

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Distributed Push–pull Estimation for node localization in wireless sensor networks

Dang

Lee

et al. 2011

Journal of Parallel and Distributed Computing

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a b s t r a c tA great deal of research achievements on localization in wireless sensor networks (WSNs) has been obtained in recent years. Nevertheless, its interesting challenges in terms of cost-reduction, accuracy improvement, scalability, and distributed ability design have led to the development of a new algorithm, the Push-pull Estimation (PPE). In this algorithm, the differences between measurements and current calculated distances are modeled into forces, dragging the nodes close to their actual positions. Based on very few known-location sensors or beacons, PPE can pervasively estimate the coordinates of many unknown-location sensors. Each unknown-location sensor, with given pair-wise distances, could independently estimate its own position through remarkably uncomplicated calculations. Characteristics of the algorithm are examined through analyses and simulations to demonstrate that it has advantages over those of previous works in dealing with the above challenges.

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An optimization approach for robust transformation of measured range data into position estimates in wireless networks

Michel

Vossiek

2009

2009 IEEE MTT-S International Microwave Workshop on Wireless Sensing, Local Positioning, and RFID

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This paper introduces a generalized framework for positioning mobile nodes in a wireless network. The transformation of the range data measured between pairs of network nodes into a spatial position is a very challenging task if the range measurements are distorted. Typical distortions in wireless ranging systems are caused by an imperfect clock synchronization or by multipath reflection. The positioning method proposed in this paper overcomes problems of the traditional circular or hyperbolic methods and allows for the detection and elimination of distorted measurements. The positioning is done in a non-Markovian manner, which is an advantage over other available methods, especially the Kalman-based positioning methods, since linear assumptions in the dynamics are avoided. Another advantage of the proposed method is that the two tasks positioning and smoothing are carried out separately. Hence, smoothing of the position data, e.g. by means of a Kalman filter, is possible without the well documented problems in conventional methods induced by the usually applied simplifying assumptions of linear dynamics. The very good performance of the presented approach is demonstrated by real life results obtained in industrial environments.

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Wireless sensor network approach for robust localization of mobile nodes with minimal complexity

Cited by 4 publications

References 15 publications

Design of Greenhouse Wireless Sensor Network Control System Based on Fuzzy Neural Network

Design of Greenhouse Wireless Sensor Network Control System Based on Fuzzy Neural Network

Distributed Push–pull Estimation for node localization in wireless sensor networks

An optimization approach for robust transformation of measured range data into position estimates in wireless networks

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