Scheduling Dependent Items in Data Broadcasting Environment

In recent years, data broadcasting becomes a promising technique to design a mobile information system with power conservation, high scalability and high bandwidth utilization. However, most of the prior research works in data broadcasting are based on the assumption that the disseminated items are independent of one another. Since in many applications, a mobile user will be interested in more than one item simultaneously, we discuss in this paper the issue of dependency in generating a broadcast program. Algorithm PBA, standing for Placement-Based Allocation, is proposed to generate a broadcast program with high quality and low complexity in the dependent data broadcasting environment. The experimental results show that the proposed placement-based allocation for scheduling dependent items leads to better execution efficiency and solution quality than those by prior works.