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Distributed Gradient Optimization for Epidemic Routing: a preliminary Evaluation

Giovanni Neglia 1, * Giuseppe Reina 1 Sara Alouf 1
* Corresponding author
1 MAESTRO - Models for the performance analysis and the control of networks
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : In this research report we address the problem of designing adaptive epidemic-style forwarding mechanisms for message delivery in Delay Tolerant Networks. Our approach is based on a new analytical framework for multi-agent optimization through distributed subgradient methods. We investigate how this framework can be adapted to the considered networking problem and we perform a preliminary evaluation, which shows promising results in terms of convergence speed.
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https://hal.inria.fr/inria-00435184
Contributor : Giovanni Neglia <>
Submitted on : Tuesday, November 24, 2009 - 10:46:39 AM
Last modification on : Saturday, January 27, 2018 - 1:31:44 AM
Long-term archiving on: : Thursday, September 23, 2010 - 10:58:18 AM

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Giovanni Neglia, Giuseppe Reina, Sara Alouf. Distributed Gradient Optimization for Epidemic Routing: a preliminary Evaluation. [Research Report] RR-7016, INRIA. 2009. ⟨inria-00435184v2⟩

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