Ant Colony Optimization Based Cache Discovery Algorithm for Mobile Ad Hoc Networks

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Mobile ad hoc network (MANET) is a resource constrained network with limited client’s resources, insufficient wireless bandwidth and users’ frequent mobility. MANETs have many distinct characteristics which distinguish them from other wireless networks. Due to frequent network disconnection, data availability is lower than traditional wired networks. Caching of frequently accessed data helps MANETs in alleviating the situation of non availability of data. This paper presents a data caching scheme (DCS) which exploits the Ant Colony Optimization approach. Mobile agents are treated as ants and used to simulate the mobile client. The mobile agents travel across the network and serve the data requests of mobile nodes. Simulation experiments show that the proposed scheme achieve significant improvements in latency and throughput.
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Mobile Ad Hoc Networks; Ant Colony Optimization; Data Caching

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