Packet-level attestation (PLA): A framework for in-network sensor data reliability

A. Kamal, C. Bleakley, S. Dobson
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引用次数: 24

Abstract

Wireless sensor networks (WSN) show enormous potential for collection and analysis of physical data in real-time. Many papers have proposed methods for improving the network reliability of WSNs. However, real WSN deployments show that sensor data-faults are very common. Several server-side data reliability techniques have been proposed to detect these faults and impute missing or erroneous data. Typically, these techniques reduce the lifetime of the network due to redundant data transmission, increase latency, and are computation and storage intensive. Herein, we propose Packet-Level Attestation (PLA), a novel framework for sensor data reliability assessment. It exploits the spatial correlation of data sensed at nearby sensors. The method does not incur additional transmission of control message between source and sink; instead, a verifier node sends a validation certificate as part of the regular data packet. PLA was implemented in TinyOS on TelosB motes and its performances was assessed. Simulations were performed to determine its scalability. It incurs only an overhead of 1.45% in terms of packets transmitted. Fault detection precision of the framework varied from 100% to 99.48%. Comparisons with existing methods for data reliability analysis showed a significant reduction in data transmission, prolonging the network lifetime.
包级认证(PLA):网络内传感器数据可靠性的框架
无线传感器网络(WSN)在实时收集和分析物理数据方面显示出巨大的潜力。许多论文提出了提高无线传感器网络可靠性的方法。然而,实际的WSN部署表明,传感器数据故障是非常常见的。已经提出了几种服务器端数据可靠性技术来检测这些故障并推测缺失或错误的数据。通常,由于冗余数据传输,这些技术减少了网络的生命周期,增加了延迟,并且需要大量的计算和存储。在此,我们提出了一种新的传感器数据可靠性评估框架——分组级认证(PLA)。它利用附近传感器感知到的数据的空间相关性。该方法不会在源和接收器之间产生额外的控制消息传输;相反,验证者节点将验证证书作为常规数据包的一部分发送。PLA在TelosB平台上的TinyOS上实现,并对其性能进行了评估。通过仿真来确定其可扩展性。就传输的数据包而言,它只产生1.45%的开销。框架的故障检测精度在100% ~ 99.48%之间。与现有的数据可靠性分析方法相比,该方法显著减少了数据传输,延长了网络寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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