HyLearn: A Mobile Learning System for Hybrid Networks

In this paper, we introduce HyLearn, a cooperative learning system for mobile devices running on a hybrid wireless network. HyLearn deploys information to interested nodes through both fixed as well as mobile networks. Due to the mobility of nodes, an efficient approach for self-organization the ad hoc network is required. For that, we apply a multi-hop clustering technique that forms hierarchical structures of an otherwise flat network in order to match HyLearn´s expected communication pattern. This clustering algorithm is parameterized in terms of cluster size and can therefore adapt the size according to the mobility degree of nodes. Local information only is required to establish and maintain clusters.