【24h】

Analysis and comparison of concurrency control protocols for wireless sensor networks

机译:无线传感器网络并发控制协议的分析与比较

获取原文

摘要

In recent years the sensor network databases TinyDB and StonesDB have emerged. While both provide a useful abstraction layer for querying data, live data in the case of TinyDB and historic data in the case of StonesDB, neither of these approaches provide transaction processing capabilities. Transaction processing capabilities are needed to guarantee the consistency, for instance, in the case of data updates at runtime or the sophisticated requirements of emerging wireless sensor and actor networks. In this paper we analyze traditional concurrency control approaches and compare them with regard to their usability in wireless sensor networks. Therefore, we implemented the traditional Strict Two Phase Locking (S2PL), Timestamp Ordering (TO) and Forward Oriented Optimistic Concurrency Control (FOCC) by validation. We show in experiments with the network simulator Shawn, that locking exhibits better commit rates and lower costs under a variety of conditions compared to timestamp ordering and validation. We also implemented locking for the sensor node platform Pacemate to show the feasibility of our approach. We believe that efficient concurrency control can broaden the application spectrum of sensor network databases and is also vital for the emerging wireless sensor and actor networks.
机译:近年来,传感器网络数据库Tinydb和Stonesdb已经出现。虽然两者都提供了用于查询数据的有用抽象层,但是在TINONDB的情况下的实时数据在StonesDB的情况下,这些方法都不提供交易处理能力。需要事务处理功能以保证一致性,例如,在运行时的数据更新或新兴无线传感器和演员网络的复杂要求的情况下。在本文中,我们分析了传统的并发控制方法,并将它们与无线传感器网络中的可用性进行了比较。因此,我们通过验证实现了传统的严格两相锁定(S2PL),时间戳排序(to)和前进的乐观并发控制(FOCC)。我们在实验中显示了网络模拟器肖恩,与时间戳顺序和验证相比,锁定在各种条件下表现出更好的提交率和降低成本。我们还为传感器节点平台锁定了锁定,以显示我们方法的可行性。我们认为,高效的并发控制可以扩大传感器网络数据库的应用谱,并且对新兴无线传感器和演员网络也至关重要。

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