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dressler2007adaptive

Falko Dressler, Reinhard German and Bettina Krueger, "Adaptive Data Dissemination in Sensor Networks using WPDD," Proceedings of IEEE Frontiers in the Convergence of Bioscience and Information Technologies (FBIT 2007), Jeju City, South Korea, October 2007, pp. 827–832.

Abstract

In Wireless Sensor Networks (WSNs), address-based routing approaches often lead to severe problems due to node mobility, energy-saving sleep-cycles, and often missing or unreliable address information. Data-centric routing schemes such as flooding or gossiping solve these problems but may lead to congestion or starvation. Based on biologically inspired mechanisms known from cellular signaling pathways, we discovered potentials in enhancing the communication required for self-organization in network environments suffering from data paths with low reliability and time variations of the reliability. Using an importance factor for particular transmissions in combination with feedback loops, the overall quality of the global system can be increased. The resulting algorithm, Weighted Probabilistic Data Dissemination (WPDD), includes an inherent adaptation to changing network conditions. Congestion control is supported as well as prioritized data communication. This paper outlines the working behavior of WPDD and demonstrates its applicability based on selected simulation results.

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Falko Dressler
Reinhard German
Bettina Krueger

BibTeX reference

@inproceedings{dressler2007adaptive,
    author = {Dressler, Falko and German, Reinhard and Krueger, Bettina},
    doi = {10.1109/FBIT.2007.23},
    title = {{Adaptive Data Dissemination in Sensor Networks using WPDD}},
    pages = {827--832},
    publisher = {IEEE},
    address = {Jeju City, South Korea},
    booktitle = {IEEE Frontiers in the Convergence of Bioscience and Information Technologies (FBIT 2007)},
    month = {10},
    year = {2007},
   }
   
   

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