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Fault Tolerance using Quadratic-Minimum Spanning Tree (Q-MST) with Secure Data Aggregation in Wireless Sensor Networks

机译:在无线传感器网络中使用具有安全数据聚合功能的二次最小生成树(Q-MST)进行容错

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摘要

In wireless Sensor networks (WSN), fault tolerance along with secure data aggregation is a challenging issue. In the literature, Minimum Spanning Tree (MST) is most widely used tree mechanism for data aggregation in WSN. Sensor nodes are typically densely deployed in disaster environments therefore secure data transmission with fault tolerance is a crucial task. WSNs are subject to node failure due to many reasons like battery power, physical damage to the sensors, etc. The proposed work mainly concentrate on replacement of alternate edge in place of the weak edge using Q-MST, which is based on artificial Bee Colony (ABC). The proposed work shows the advantage of the alternate path instead of regenerating the MST when a link has failed due to lack of resources. In the proposed work secure transmission of data along with the integration of two-hop mechanism which is Secure and Efficient protocol for Data Aggregation in wireless sensor Networks (SEDAN) is used. We have compared the Performance of Q-MST to MST in terms of energy consumption and other parameters which are essential to optimize in WSN for better performance.
机译:在无线传感器网络(WSN)中,容错以及安全的数据聚合是一个具有挑战性的问题。在文献中,最小生成树(MST)是WSN中用于数据聚合的最广泛使用的树机制。传感器节点通常密集部署在灾难环境中,因此具有容错能力的安全数据传输是一项至关重要的任务。由于诸如电池电量,传感器物理损坏等多种原因,WSN容易发生节点故障。拟议的工作主要集中在使用基于人工Bee Colony的Q-MST代替备用边缘来代替弱边缘。 (ABC)。提议的工作显示了替代路径的优势,而不是在由于资源不足而导致链接失败时重新生成MST。在提出的工作中,使用了安全的数据传输以及两跳机制的集成,该机制是无线传感器网络(SEDAN)中用于数据聚合的安全有效协议。我们已将Q-MST的性能与MST的能耗和其他参数进行了比较,这对于在WSN中进行优化以提高性能至关重要。

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