Literature Database Entry


Falko Dressler, "Weighted Probabilistic Data Dissemination (WPDD)," Department of Computer Science 7, Friedrich–Alexander University of Erlangen–Nuremberg (FAU), Technical Report, 05/06, December 2006.


Most routing methods for wireless sensor networks (WSN) are based on general-purpose ad hoc routing techniques. Usually, on-demand path determination based on unambiguous addresses is used to control and manage the current network topology. In WSN, such address-based approaches often lead to severe problems due to several issues: node mobility, energy-saving long sleep-cycles due to infrequent message exchange, and the more general problem of dynamic addressing. Data-centric routing schemes such as flooding or gossiping solve these problems but may lead to congestion or starvation. In this paper, we propose a new data-centric forwarding technique, named weighted probabilistic data dissemination (WPDD), which is based on gossiping. In contrast to other proposals, this method includes an inherent adaptation to changing network conditions. Based on several priorities and probabilities, congestion control is supported as well as prioritized data communication. This paper outlines the working behavior of WPDD and its additional features. A simulation model was created to analyze the approach. The results promise an efficient deployment in different scenarios.

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Falko Dressler

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    author = {Dressler, Falko},
    title = {{Weighted Probabilistic Data Dissemination (WPDD)}},
    institution = {Department of Computer Science 7, Friedrich--Alexander University of Erlangen--Nuremberg (FAU)},
    location = {Erlangen, Germany},
    month = {12},
    number = {05/06},
    type = {Technical Report},
    year = {2006},

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