【作者】 赵明；

【导师】 李明禄； 伍民友；

【作者基本信息】 上海交通大学 ， 计算机应用， 2008， 硕士

【摘要】 随着无线传感器网络监测事件的增多,传感器网络内部产生了大量的监测数据信息。当用户查询传感网时,这些信息需要被有效地发送和存储。然而,传感器节点是由电池供电,存储能力有限。如何减少查询过程中的能量消耗和存储消耗是传感器研究领域需要解决的重要问题。本文分析了无线传感网的查询执行过程,针对传感网在查询过程中的存储消耗等问题,提出了一种基于历史缓存数据的存储优化查询框架。本文基于上述框架,具体研究了在Top k查询过程中,如何减少查询的存储消耗和能量消耗,并准确收集查询数据的问题。仿真实验结果表明,本文提到的理论和方法可以有效降低网络存储消耗和能量消耗,并能保证查询结果的正确性。更多还原

【Abstract】 With the increasing events monitored in ad hoc wireless sensor networks, it generates a vital amount of data which should be effectively transmitted and stored for further retrieval and data analysis. However, since the sensor node is battery-powered and memory-constraint, it is a challenging issue for researchers on the term of reducing the energy costs and storage costs during the query processing.In this dissertation, we analyze the query processing in sensor networks. We focus on the storage-cost issue, propose a storage optimization architecture based on history cached data. We apply this architecture into the Top k query and reduce the storage costs and energy costs as well. Simulation results show that the storage dissipation can be avoided significantly while minimum energy is consumed, and the accuracy of query result can be achieved.更多还原