...
首页> 外文期刊>IEEE transactions on wireless communications >Enabling Reliable and Network-Wide Wakeup in Wireless Sensor Networks
【24h】

Enabling Reliable and Network-Wide Wakeup in Wireless Sensor Networks

机译:在无线传感器网络中实现可靠的网络范围唤醒

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Event-triggered wake-up, in which sensor nodes wake up to work in the presence of some pre-defined events, has been widely used in wireless sensor networks (WSNs) to save energy while still completing the tasks required. However, some recently emerged domain-specific WSN applications such as structural health monitoring (SHM) and volcano seismic tomography, have different requirements with regard to wake-up as compared to conventional WSN applications. In these domain-specific applications, the wake-up should be network-wide and nodes to be woken up are not limited to those close to event locations. In addition, the wake-up should be fast to capture enough information during generally short events and be reliable to avoid costly false-positive wake-ups. This problem has not been addressed in the literature. In this paper, we designed two types of wake-up units, based on which we propose a new chain-reaction wake-up mechanism to address this challenge. In this mechanism, we carefully select some nodes used to initiate the wake-up process, such that the wake-up delay is minimized under the false alarm constraint. We propose two greedy algorithms and a randomized one that leverages the solution to the classic Knapsack problem. The performance of the proposed wake-up mechanism is demonstrated through both simulation and experiments.
机译:事件触发式唤醒已在无线传感器网络(WSN)中广泛使用,其中传感器节点在存在一些预定义事件的情况下唤醒以工作,以节省能源,同时仍完成所需的任务。但是,最近出现的一些特定领域的WSN应用(例如结构健康监测(SHM)和火山地震层析成像)与常规WSN应用相比在唤醒方面有不同的要求。在这些特定于域的应用程序中,唤醒应在整个网络范围内进行,并且要唤醒的节点不仅限于靠近事件位置的节点。另外,唤醒应该快速以在一般的短时间事件期间捕获足够的信息,并且可靠地避免昂贵的假阳性唤醒。该问题尚未在文献中得到解决。在本文中,我们设计了两种类型的唤醒单元,在此基础上,我们提出了一种新的链式反应唤醒机制来应对这一挑战。在这种机制中,我们仔细选择了一些用于启动唤醒过程的节点,以便在虚警约束下将唤醒延迟最小化。我们提出了两种贪婪算法和一种随机算法,该算法利用了经典背包问题的解决方案。通过仿真和实验证明了所提出的唤醒机制的性能。

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