Sensor Node Failure Detection Based on Round Trip Delay and Paths in WSNs

Sensor Node Failure Detection Based on Round Trip Delay and Paths in WSNs
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WSN 中基于往返延迟和路径的传感器节点故障检测

DOI:
10.1109/jsen.2013.2284796
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发表时间:
2014
影响因子:
4.3
通讯作者:
N. Sarwade
N. Sarwade
中科院分区:
综合性期刊2区
文献类型:
--
作者:
R. Duche;N. Sarwade

文献摘要

被引文献

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近年来,无线传感器网络(WSN)的应用由于其连接物理世界和虚拟世界的巨大潜力而​​不断增加。此外,微电子制造技术的进步降低了便携式无线传感器节点的制造成本。在无线传感器网络中部署大量便携式无线传感器以提高服务质量(QoS)已成为一种趋势。此类WSN的QoS主要受到传感器节点故障的影响。传感器节点故障的概率随着传感器数量的增加而增加。为了在故障情况下保持更好的服务质量,识别和排除此类故障至关重要。在所提出的方法中,通过测量离散往返路径的往返延迟(RTD)时间并将其与阈值进行比较来检测故障传感器节点。最初,所建议的方法在使用微控制器和 ZigBee 设计的具有六个传感器节点的 WSN 上进行了实验。通过在 NS2 中模拟具有大量传感器节点的 WSN,验证了所提出方法的可扩展性。硬件和软件实现中得出的 RTD 时间结果几乎相同,证明了所研究方法的实时适用性。这里克服了簇头变化中接收信号强度测量的必要性以及其他故障检测技术中为每个链路分配单独波长的必要性。
In recent years, applications of wireless sensor networks (WSNs) have been increased due to its vast potential to connect the physical world to the virtual world. Also, an advance in microelectronic fabrication technology reduces the cost of manufacturing portable wireless sensor nodes. It becomes a trend to deploy the large numbers of portable wireless sensors in WSNs to increase the quality of service (QoS). The QoS of such WSNs is mainly affected by the failure of sensor nodes. Probability of sensor node failure increases with increase in number of sensors. In order to maintain the better QoS under failure conditions, identifying and detaching such faults are essential. In the proposed method, faulty sensor node is detected by measuring the round trip delay (RTD) time of discrete round trip paths and comparing them with threshold value. Initially, the suggested method is experimented on WSNs with six sensor nodes designed using microcontroller and ZigBee. Scalability of proposed method is verified by simulating the WSNs with large numbers of sensor nodes in NS2. The RTD time results derived in hardware and software implementations are almost equal, justifying the real time applicability of the investigated method. Necessity of received signal strength measurement in cluster head variation and assigning separate wavelength for each link in other fault detection techniques are overcome here.