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首页> 外文期刊>International Journal of Innovative Research in Science, Engineering and Technology >A Robust and Effective Detection of Anomaly Location in Wireless Sensor Networks
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A Robust and Effective Detection of Anomaly Location in Wireless Sensor Networks

机译:无线传感器网络中异常位置的鲁棒有效检测

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In wireless sensor network localization schemes are used to knowing the location of all sensor nodes. But some localization is subjected to many malicious attacks in the network such as wormhole attack. Since sensors locations are not truthful, there is a need to verify the sensors‟ locations whether it is trustable or not. To detect the abnormal location in wireless sensor networks, more verification schemes are used previously. This paper proposes a technique that performs “Distributed in-region verification”. Distributed In-region verification algorithm intends to verify whether a sensor is inside an application verification region or not. To strengthen the detection accuracy and energy efficiency in the in-region algorithm, distributed verification center is implemented. Since each sensor node communicates with the corresponding verification center, collision is avoided. Through the use of single verification center for each region, energy consumption will be reduced. Therefore the detection accuracy is highly achieved in the network.
机译:在无线传感器网络中,定位方案用于了解所有传感器节点的位置。但是某些本地化会遭受网络中的许多恶意攻击,例如虫洞攻击。由于传感器位置不真实,因此需要验证传感器的位置是否可信。为了检测无线传感器网络中的异常位置,以前使用了更多的验证方案。本文提出了一种执行“分布式区域内验证”的技术。分布式区域内验证算法旨在验证传感器是否在应用程序验证区域内。为了提高区域内算法的检测精度和能效,建立了分布式验证中心。由于每个传感器节点都与相应的验证中心通信,因此避免了冲突。通过在每个地区使用单个验证中心,可以减少能源消耗。因此,在网络中高度实现了检测精度。

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