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- W2319329003 abstract "All networks tend to become more and more complicated. They can be wired, with lots of routers, or wireless, with lots of mobile node. The problem remains the same, in order to get the best from the network; there is a need to find the shortest path. The more complicated the network is, the more difficult it is to manage the routes and indicate which one is the best. The Nature gives us a solution to find the shortest path. The ants, in their necessity to find food and brings it back to the nest, manage not only to explore a vast area, but also to indicate to their peers the location of the food while bringing it back to the nest. Most of the time, they will find the shortest path and adapt to ground changes, hence proving their great efficiency toward this difficult task. The purpose of this paper is to evaluate the performance of different network topologies based on Ant Colony Optimization Algorithm. Simulation is done in NS-2." @default.
- W2319329003 created "2016-06-24" @default.
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- W2319329003 date "2010-11-25" @default.
- W2319329003 modified "2023-10-12" @default.
- W2319329003 title "Performance Evaluation of Different Network Topologies Based On Ant Colony Optimization" @default.
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- W2319329003 doi "https://doi.org/10.5121/ijwmn.2010.2412" @default.
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