An adaptive epidemic information dissemination model for wireless sensor networks

作者：Anagnostopoulos Christos^*; Sekkas Odysseas; Hadjiefthymiades Stathes

来源：Pervasive and Mobile Computing, 2012, 8(5): 751-763.

DOI：10.1016/j.pmcj.2011.06.005

• Adaptive epidemic information dissemination
• Probabilistic dissemination algorithm
• Wireless sensor networks

We propose an adaptive bio-inspired information dissemination model that exploits the specific characteristics of the sampled/generated data stream (DS) in a wireless sensor network. Our model extends the basic epidemic algorithm by adapting key operational parameters (i.e., the forwarding probability and validity period) of the data dissemination process. The main idea is that the forwarding probability is tuned according to the variability of the involved DS. Our findings from the introduction of this adaptive epidemic are quite promising. Our scheme supersedes conventional probabilistic information dissemination algorithms in terms of efficiency and reliability.

• 出版日期2012-10