Continuous Queries for Streaming Data of Mobile Objects

As a result of the development of streaming data systems, a huge number of continuous queries from users on those systems should be managed efficiently. Recent proposed methods mostly focus on handling problems of system performance that can be degraded by overloading server and the bottle neck problem of the wireless network. Specially, continuously updating reports when objects change positions may consume battery energy of mobile devices significantly. In this paper, we propose an efficient method to manage continuous queries for streaming data of mobile objects in GPS as well as Indoor positioning systems. Our idea is to use indices and in-memory data structures for objects, queries together in order to reduce cost of communication, updates on servers and battery burden of mobile device. But the method still supports the most types of queries as possibly. Our experiments show that the proposed method can manage continuous queries in large number quickly and efficiently in a wireless environment.