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We propose a protocol optimization technique that is applicable to bothweighted or unweighted graphs. Our aim is to explore by how much a smallvariation around the Shortest Path or Optimal Path protocols can enhanceprotocol performance. Such an optimization strategy can be necessary becauseeven though some protocols can achieve very high traffic tolerance levels, thisis commonly done by enlarging the path-lengths, which may jeopardizescalability. We use ideas borrowed from Extremal Optimization to guide ouralgorithm, which proves to be an effective technique. Our method exploits thedegeneracy of the paths or their close-weight alternatives, which significantlyimproves the scalability of the protocols in comparison to Shortest Paths orOptimal Paths protocols, keeping at the same time almost intact the length orweight of the paths. This characteristic ensures that the optimized routingprotocols are composed of paths that are quick to traverse, avoiding negativeeffects in data communication due to path-length increases that can becomespecially relevant when information losses are present.

Optimization of transport protocols with path-length constraints in complex networks