Using Cellular Automata to Form an MOTV Society in Mobile Ad-hoc Networks

This paper proposes a novel approach to clustering the interests of mobile users, increasing the lifetime of interest groups, and increasing the throughput in mobile user-to-mobile user environments for mobile IPTV (MOTV) societies. This paper develops an interest ontology of cellular automata (CA) clustering using the zone of interest (ZOI) for mobicast communications in mobile ad hoc network (MANET) environments. The key to the proposed method is to integrate CA clustering with the ontology of users’ interests. This paper proposes that both an interest profile (ontology) of users and information about mobile devices can help form a group of MANET-related interests. The current study evaluates the performance of the approach by conducting computer simulations. Simulation results reveal the strengths of the proposed CA-clustering algorithm in terms of increased group lifetime and increased ZOI throughput for MANETs.

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