Scalable spatial query processing for location-aware mobile services

Location-aware mobile services(LAMSs) are characterized by a large number of objects and a large number of queries. More-over, with a large candidate data set, answering LAMSs via scanning through the whole data set becomes extremely expensive. In broadcast-based services, any number of clients can monitor the broadcast channel and retrieve the data as it arrives through the broadcast channel. Thus, a wireless broadcast system capable of answering LAMSs queries is considered a promising solution because it can serve a virtually unlimited number of users within its coverage. Furthermore, if the data is properly organized to cater to the needs of the clients, such a scheme makes effective use of the low wireless bandwidth, and is ideal for achieving maximal scalability. In this paper, we address the issues of supporting spatial queries of location-aware data via wireless data broadcast. A linear data broadcast based on their location is proposed to answer spatial queries on air. Comprehensive experimentation shows that the proposed scheme is highly scalable and is more efficient in terms of both tuning time and access latency in comparison to other techniques.