多个查询时选择区域更新策略的参数设定

Selection of optimal parameters for SAU in multiple queries

提出了在位置相关连续查询(LDCQ)中选择区域更新策略在多个查询存在的情况下的优化参数值的理论分析结果.通过给予不同区域内固定大小的偏差限来减少移动对象的更新次数和对计算容量的占用;同时通过延迟广播来减少广播信息数量,从而优化了系统结构,减轻了系统负荷.研究结果表明,在多个查询同时存在的情况下,SAU的优化参数选择的理论分析和结果与实际仿真结果是基本符合的.

Theoretic analysis and results of the optimal parameters selection for SAU in multiple queries is presented. By setting fixed deviation limits in different areas, it reduces the update number of moving objects and the occupancy of the system computation capacity. It also reduces the broadcast messages by delaying to broadcast locations of query boundaries. It further optimizes the system structure and so relieves the payload of the system. The result shows that the theoretic analysis and the result for selection of optimal parameters in SAU when exists multiple queries coincide with the former practical simulation results.