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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. Research

    Dynamic rainfall monitoring using microwave links

    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 ...

    Venkat Roy, Shahzad Gishkori and Geert Leus

    EURASIP Journal on Advances in Signal Processing 2016 2016:77

    Published on: 4 July 2016

  2. Research

    Multi-camera object tracking using surprisal observations in visual sensor networks

    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...

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

    EURASIP Journal on Advances in Signal Processing 2016 2016:50

    Published on: 26 April 2016

  3. Research

    Interval type 2 fuzzy localization for wireless sensor networks

    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...

    Noura Baccar and Ridha Bouallegue

    EURASIP Journal on Advances in Signal Processing 2016 2016:42

    Published on: 2 April 2016

  4. Research

    Optimal fusion rule for distributed detection in clustered wireless sensor networks

    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...

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

    EURASIP Journal on Advances in Signal Processing 2016 2016:5

    Published on: 13 January 2016