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AntNet Routing Algorithm: Mimicking Social Insects for Efficient Packet Routing

Learn about AntNet, an algorithm inspired by social insects' behavior, using "Ant" packets to update routing tables and find optimal paths. Explore its mechanisms, goals, drawbacks, and synchronization methods in various scenarios.

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AntNet Routing Algorithm: Mimicking Social Insects for Efficient Packet Routing

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  1. The Social Insect Metaphor Adam Dennis,Kate Patterson, Curtis Sanford,Andrew Vanderveen

  2. Rationale • Intelligent packets, called “Ants”, that interact to keep the contents of the routing tables up to date. • These Ants are only capable of simple stochastic decisions influenced by the availability of previously laid stigmergic, volatile trails.

  3. Goals of Ants • To reach the “food” (destination), and make a successful return path

  4. Drawbacks • On encountering multiple stigmergic trails, an Ant will probabilistically choose the route with greatest stigmergic reinforcement. • Naturally, this will correspond to the ‘fastest’ route to the food.

  5. AntNet • Created by Di Caro and Dorigo • Forward Ants • Backward Ants • Routing Tables • Synchronization

  6. Scenario 1

  7. Scenario 2

  8. Scenario 3

  9. Scenario 4

  10. Scenario 5

  11. Questions?

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