DyDAP: A dynamic data aggregation scheme for privacy aware wireless sensor networks

  • Authors:
  • Sabrina Sicari;Luigi Alfredo Grieco;Gennaro Boggia;Alberto Coen-Porisini

  • Affiliations:
  • Dipartimento di Informatica e Comunicazione, Universití degli Studi dell'Insubria, via Mazzini, 5, 21100 Varese, Italy;Politecnico di Bari, via Orabona, 4, 70125 Bari, Italy;Politecnico di Bari, via Orabona, 4, 70125 Bari, Italy;Dipartimento di Informatica e Comunicazione, Universití degli Studi dell'Insubria, via Mazzini, 5, 21100 Varese, Italy

  • Venue:
  • Journal of Systems and Software
  • Year:
  • 2012

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Abstract

End-to-end data aggregation, without degrading sensing accuracy, is a very relevant issue in wireless sensor networks (WSN) that can prevent network congestion to occur. Moreover, privacy management requires that anonymity and data integrity are preserved in such networks. Unfortunately, no integrated solutions have been proposed so far, able to tackle both issues in a unified and general environment. To bridge this gap, in this paper we present an approach for dynamic secure end-to-end data aggregation with privacy function, named DyDAP. It has been designed starting from a UML model that encompasses the most important building blocks of a privacy-aware WSN, including aggregation policies. Furthermore, it introduces an original aggregation algorithm that, using a discrete-time control loop, is able to dynamically handle in-network data fusion to reduce the communication load. The performance of the proposed scheme has been verified using computer simulations, showing that DyDAP avoids network congestion and therefore improves WSN estimation accuracy while, at the same time, guaranteeing anonymity and data integrity.