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Distributed and Centralized Estimation in Wireless Sensor Networks

Sensing external phenomena using sensor networks is of great importance for environmental monitoring, for security, in the defense sector and in healthcare. There are many theoretical and technological open issues on how to best design and place sensors, perform inference and estimation and communicate amongst sensors that need to be addressed in order to make this technology broadly viable. Sensor Networks are designed to perform three fundamental tasks: sensing a physical field, transmitting the data to a central receiver or to nearby sensors, and making centralized or distributed inference. The goal of this special issue is to touch on all the aspects of estimation using sensor networks in order to push the boundaries of this important research area.

Edited by: Biao Chen, Pier Luigi Dragotti, Geert Leus, Stefano Marano, Michael Rabbat, and Pramod Varshney

  1. Content type: Research

    In this work, we propose a sparsity-exploiting dynamic rainfall monitoring methodology using rain-induced attenuation measurements from microwave links. To estimate rainfall field intensity dynamically from a ...

    Authors: Venkat Roy, Shahzad Gishkori and Geert Leus

    Citation: EURASIP Journal on Advances in Signal Processing 2016 2016:77

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  2. Content type: Research

    In this work, we propose a multi-camera object tracking method with surprisal observations based on the cubature information filter in visual sensor networks. In multi-camera object tracking approaches, multip...

    Authors: Venkata Pathuri Bhuvana, Melanie Schranz, Carlo S. Regazzoni, Bernhard Rinner, Andrea M. Tonello and Mario Huemer

    Citation: EURASIP Journal on Advances in Signal Processing 2016 2016:50

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  3. Content type: Research

    We develop an adaptive sensing framework for tracking time-varying fields using a wireless sensor network. The sensing rate is iteratively adjusted in an online fashion using a scheme that relies on an integra...

    Authors: Naveen Kumar, Fatemeh Fazel, Milica Stojanovic and Shrikanth S. Naryanan

    Citation: EURASIP Journal on Advances in Signal Processing 2016 2016:48

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  4. Content type: Research

    Indoor localization in wireless sensor networks (WSN) is a challenging process. This paper proposes a new approach to solve the localization problematic. A fuzzy linguistic localization scheme is proposed. Bas...

    Authors: Noura Baccar and Ridha Bouallegue

    Citation: EURASIP Journal on Advances in Signal Processing 2016 2016:42

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  5. Content type: Research

    Sensor networks are important for monitoring several physical phenomena. In this paper, we consider the monitoring of diffusion fields and design simple, yet robust, sensing, data processing and communication ...

    Authors: John Murray-Bruce and Pier Luigi Dragotti

    Citation: EURASIP Journal on Advances in Signal Processing 2016 2016:14

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  6. Content type: Research

    We consider distributed detection in a clustered wireless sensor network (WSN) deployed randomly in a large field for the purpose of intrusion detection. The WSN is modeled by a homogeneous Poisson point proce...

    Authors: Sami A. Aldalahmeh, Mounir Ghogho, Des McLernon and Edmond Nurellari

    Citation: EURASIP Journal on Advances in Signal Processing 2016 2016:5

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