首页> 外文期刊>Data & Knowledge Engineering >An efficient top-k query processing framework in mobile sensor networks
【24h】

An efficient top-k query processing framework in mobile sensor networks

机译:移动传感器网络中高效的top-k查询处理框架

获取原文
获取原文并翻译 | 示例
           

摘要

Mobile sensor networks consist of a number of sensor nodes which are capable of sensing, processing, communicating and moving. These mobile sensor nodes move around and explore their surrounding areas. Top-k queries are useful in many mobile sensor network applications. However, the mobility of sensor nodes incurs new challenges in addition to the problems of static sensor networks (i.e., resource constraints). Since mobile sensor nodes tend to move continuously, the network condition changes frequently and they consume considerably more energy than static sensor nodes. In this paper, we propose an efficient top-k query processing framework in a mobile sensor network environment called mSensor. To construct an efficient routing topology, we devise a mobility-aware routing method. Using the semantics of the top-k query, we develop a filter-based data collection method which can save the energy consumption and provide more accurate query results. We also devise a data compression method for disconnected sensor nodes to deal with the problem of limited memory space of sensor nodes. The performance of our proposed approach is extensively evaluated using synthetic data sets and real data sets. The results show the effectiveness of our approach. (C) 2016 Elsevier B.V. All rights reserved.
机译:移动传感器网络由多个传感器节点组成,这些传感器节点能够进行感应,处理,通信和移动。这些移动传感器节点四处移动并探索其周围区域。 top-k查询在许多移动传感器网络应用程序中很有用。然而,除了静态传感器网络的问题(即资源约束)之外,传感器节点的移动性还带来了新的挑战。由于移动传感器节点趋向于连续移动,因此网络状况频繁变化,并且它们消耗的能量比静态传感器节点多得多。在本文中,我们提出了一种在称为mSensor的移动传感器网络环境中有效的top-k查询处理框架。为了构建有效的路由拓扑,我们设计了一种移动感知路由方法。利用top-k查询的语义,我们开发了一种基于过滤器的数据收集方法,该方法可以节省能耗并提供更准确的查询结果。我们还为断开的传感器节点设计了一种数据压缩方法,以解决传感器节点存储空间有限的问题。我们建议的方法的性能已使用综合数据集和实际数据集进行了广泛评估。结果表明了我们方法的有效性。 (C)2016 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号