RMD: Reliable Multicast Data Dissemination within Groups of Collaborating Objects

Mihai Marin Perianu, Paul J.M. Havinga

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    2 Citations (Scopus)

    Abstract

    Factory and industrial automation systems gradually start to incorporate wireless networks of smart objects and sensor nodes. In this context, one fundamental problem is the reliability of data dissemination, particularly in the case of total or partial network reconfiguration. We propose RMD, a reliable data dissemination solution targeting multicast groups of collaborating objects. Compared to previous work, our approach focuses on guaranteeing the data transmission rather than improving the delivery ratio. In addition, RMD scales better by utilizing the multicast support and proves more energy efficient due to cross-layer optimizations. To achieve these, we combine end-to-end aggregated acknowledgements with local error detection and recovery, and apply a selective listening scheme for reducing unnecessary radio operation. We evaluate the performance of RMD theoretically and through simulations. Early experiences with the implementation on sensor nodes show the feasibility of a lightweight reliable dissemination layer.
    Original languageUndefined
    Title of host publicationFirst IEEE International Workshop on Practical Issues in Building Sensor Network Applications, SenseApp 2006
    Place of PublicationLos Alamitos
    PublisherIEEE Computer Society
    Pages656-663
    Number of pages8
    ISBN (Print)1-4244-0418-5
    DOIs
    Publication statusPublished - Nov 2006

    Publication series

    Name
    PublisherIEEE Computer Society Press
    Number500-266
    ISSN (Print)0742-1303

    Keywords

    • EWI-8857
    • IR-63875
    • METIS-237835
    • CAES-PS: Pervasive Systems

    Cite this

    Marin Perianu, M., & Havinga, P. J. M. (2006). RMD: Reliable Multicast Data Dissemination within Groups of Collaborating Objects. In First IEEE International Workshop on Practical Issues in Building Sensor Network Applications, SenseApp 2006 (pp. 656-663). Los Alamitos: IEEE Computer Society. https://doi.org/10.1109/LCN.2006.322174