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Smart Structures and Systems
  Volume 14, Number 1, July 2014 , pages 1-16

Spatio-temporal protocol for power-efficient acquisition wireless sensors based SHM
Nikola Bogdanovic, Dimitris Ampeliotis, Kostas Berberidis, Fabio Casciati and Jorge Plata-Chaves

    In this work, we address the so-called sensor reachback problem for Wireless Sensor Networks, which consists in collecting the measurements acquired by a large number of sensor nodes into a sink node which has major computational and power capabilities. Focused on applications such as Structural Health Monitoring, we propose a cooperative communication protocol that exploits the spatio-temporal correlations of the sensor measurements in order to save energy when transmitting the information to the sink node in a non-stationary environment. In addition to cooperative communications, the protocol is based on two well-studied adaptive filtering techniques, Least Mean Squares and Recursive Least Squares, which trade off computational complexity and reduction in the number of transmissions to the sink node. Finally, experiments with real acceleration measurements, obtained from the Canton Tower in China, are included to show the effectiveness of the proposed method.
Key Words
    spatio-temporal correlated data; sensor reachback; adaptive predictor; wireless sensor network; structural health monitoring
Nikola Bogdanovic, Dimitris Ampeliotis, Kostas Berberidis,
and Jorge Plata-Chaves: Department of Computer Engineering and Informatics, University of Patras & C.T.I RU-8,
26500, Rio - Patra, Greece
Fabio Casciati: Department of Civil Engineering and Architecture, University of Pavia,Via Ferrata 1, 27100 Pavia, Italy

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