Towards an Efficient Semantic Prefetching for Location Based Services

Location-Based Services(LBSs) in a wireless location-aware network are public and personal services intended to be available for users. It is important to support Location Dependent Data(LDD) that users want to get to their moving location properly. If we get many LDD in a local device, the communication cost increased by frequent connections can remarkably reduce. General prefetching scheme make it possible to send data to mobile clients in advance. But, after analyzing queries fixed to users’ interests in current location, it is difficult to support proper data in LBSs. Therefore, we propose a Semantic Prefetching scheme to efficiently prefetch LDD and semantic description through servers with large scale data. Also, with our semantic prefetching scheme for LDD in LBSs, we propose a new cache management scheme to manage data needed by mobile users. A performance study shows efficiency of these schemes when compared to traditional semantic cache scheme.