摘要
针对现有无线体域网(WBAN)架构不能有效控制能耗和时延的问题,提出了一种合并基于云计算的WBAN和统计学建模技术的新架构。首先简要介绍了实时数据的特性;然后分析了架构中无线体域网、个人服务器和访问点之间的通信、云环境的三个基础组件;最后描述了提出的架构及其隐含的查询处理算法。该架构提供了一种安全存储基础架构,并在能量最小化和查询延迟方面优化了实时用户查询处理。基于真实和合成数据集的性能分析和实验表明,该架构的能量消耗仅为比较模型的20%,查询延迟仅为比较模型的50%,并且提供了安全且功能强大的存储环境。
To solve the problem of energy consumption and time delay in present wireless body area networks （WBAN） architecture, this paper proposed a new architecture that combined cloud-based WBANs with statistical modeling techniques. Firstly, it briefly presented the characteristics of real-time data. Then it illustrated the three components ： the WBAN, the communication between the personal server （PS） and the access points （APs） and the cloud environment. Finally, it described the proposed architecture and its underlying query processing algorithm. The architecture provided a secure storage infrastructure and optimized the real-time user query processing in terms of energy minimization and query latency. The performance analysis and the experiments based on both real and synthetic data sets demonstrate that the energy consumption of proposed model is only 20% of compared model, and its query delay is only 50% of compared model, it has provided a secure and powerful storage infrastructure.
出处
《计算机应用研究》
CSCD
北大核心
2015年第8期2461-2464,2479,共5页
Application Research of Computers
基金
国家自然科学基金资助项目(61103143)
河南省科技计划资助项目(112300410307
122300410397)
河南省科技厅基础与前沿技术研究计划资助项目(142300410334)
关键词
无线体域网
云计算
实时数据库管理
安全存储
查询优化
wireless body area network
cloud computing
real-time database management
secure storage
query optimization
