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An Adaptability-Enhanced Routing Method for Multiple Gateway-Based Wireless Sensor Networks Using Secure Dispersed Data Transfer

机译:使用安全分散数据传输的基于多个网关的无线传感器网络的适应性增强路由方法

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In conventional wireless sensor networks (hereinafter referred to as WSNs), the single sink node model has been employed to collect and store the measured data that can be accessed by external users of WSNs. However, the single sink model of WSNs can be the single point of failure for some usage. To counter this problem, we can employ multiple gateway-based WSNs. In addition, WSNs are susceptible to various kinds of attacks such as eavesdropping. To counter eavesdropping, we already have proposed the secret sharing scheme-based secure dispersed data transfer method (hereinafter referred to as the secure dispersed data transfer method). While we had confirmed that the secure dispersed data transfer method is effective to counter eavesdropping through the use of radio area disjoint multiple paths, we also found that the secure dispersed data transfer method cannot be effective in severe environments such as in a network with a low density of nodes. In this paper, we propose a new adaptability-enhanced routing method for multiple gateway-based WSNs by using the secure dispersed data transfer method. Our proposed method employed the gateway placement scheme, the routing scheme, and the data forwarding scheme. We also have implemented our proposed method on the QualNet simulator. We have confirmed that our proposed method can work well in severe environments such as low density networks without dramatic degradation of the data packet delivery ratio and the security.
机译:在传统的无线传感器网络(以下称为WSN)中,已经采用单宿节点模型来收集和存储WSN的外部用户可以访问的测量数据。但是,对于某些用途,WSN的单接收器模型可能是单点故障。为了解决这个问题,我们可以使用多个基于网关的WSN。另外,WSN容易受到各种攻击,例如窃听。为了防止窃听,我们已经提出了基于秘密共享方案的安全分散数据传输方法(以下称为安全分散数据传输方法)。尽管我们已经确认了安全分散的数据传输方法可以有效地通过使用无线电区域不相交的多条路径来反窃听,但我们还发现,安全分散的数据传输方法在恶劣的环境(例如,网络流量较低的网络)中无法有效节点的密度。在本文中,我们通过使用安全的分散数据传输方法,为多个基于网关的WSN提出了一种新的增强适应性的路由方法。我们提出的方法采用了网关放置方案,路由方案和数据转发方案。我们还在QualNet仿真器上实现了我们提出的方法。我们已经证实,我们提出的方法可以在恶劣的环境(例如低密度网络)中很好地工作,而不会显着降低数据包的传输率和安全性。

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