Efficient Data Scheduling for Multi-item Queries in On-Demand Broadcast

Data broadcast is an efficient way of data dissemination in the wireless mobile environment. Recently, many researchers pay attention to broadcast scheduling for multi-item queries which is a more practical problem in this field. However, only a few works discuss the scheduling problem in on-demand environment. In this paper, we propose a heuristic approach called LRL for the broadcast scheduling problem. Performance analysis is put forward and simulation experiments show that our approaches achieve a comparative improvement compared with the existing methods.