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Autonomous Gossiping: A Self-Organizing Epidemic Algorithm for Selective Information
 

Summary: Autonomous Gossiping: A Self-Organizing
Epidemic Algorithm for Selective Information
Dissemination in Wireless Mobile Ad-Hoc
Networks
Anwitaman Datta, Silvia Quarteroni, and Karl Aberer
School of Computer and Communication Sciences (I&C),
Swiss Federal Institute of Technology (EPFL),
1015 Lausanne, Switzerland
{anwitaman.datta,silvia.quarteroni,karl.aberer}@epfl.ch
Abstract. We introduce autonomous gossiping (A/G), a new genre
epidemic algorithm for selective dissemination of information in contrast
to previous usage of epidemic algorithms which flood the whole network.
A/G is a paradigm which suits well in a mobile ad-hoc networking
(MANET) environment because it does not require any infrastructure
or middleware like multicast tree and (un)subscription maintenance for
publish/subscribe, but uses ecological and economic principles in a self-
organizing manner in order to achieve any arbitrary selectivity (flexible
casting). The trade-off of using a stateless self-organizing mechanism
like A/G is that it does not guarantee completeness deterministically
as is one of the original objectives of alternate selective dissemination

  

Source: Aberer, Karl - Faculté Informatique et Communications, Ecole Polytechnique Fédérale de Lausanne

 

Collections: Computer Technologies and Information Sciences