Research of semantic caching for LDQ in mobile network

Location-dependent query is becoming very popular in mobile environments. To improve system performance, many semantic cache models are proposed. In this paper, we first define a new structure of semantic segments index. Then we analyze the detailed query processing and FAR algorithm. For overcoming the shortage of predicting future location in FAR, we propose a new improved algorithm (RBF-FAR) as replacement policy, which use RBFNN to predicate next location instead of velocity in FAR. Using this new replacement policy, we propose a new model for LDQ semantic cache. The experiment results show that new model, on the basis of RBF-FAR, is more flexible and effective at reducing average response time network-load used in LDQ than FAR model