Clustering Approach Based on Ant Colony Optimization

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Provided by: Creative Commons
Topic: Big Data
Format: PDF
A Mobile Ad-hoc NETwork (MANET) is formed by a cluster of mobile hosts, each installed with a wireless transceiver, without the assistance of base stations. Various clustering algorithms have been proposed to partition the network into small and manageable clusters and hence provide efficient resource management which enhances network performance. Ant Colony Optimization (ACO) is inspired by the foraging behavior of real ant. ACO is meant to find optimal and shortest routing solution for many difficult problems such as travelling salesman problem, graph coloring problem, etc.
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