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Secure Cluster-Head Selection Algorithm Using Pattern for Wireless Mobile Sensor Networks

机译:使用图案的安全集群头选择算法用于无线移动传感器网络

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Selecting a cluster head (CH) in wireless mobile sensor network is a crucial task. Numerous algorithms have been presented for this purpose in recent literature. In these algorithms, all nodes are permitted to contend in CH selection process regardless of their less resource. This meaningless participation of ineligible nodes in the CH selection process causes unnecessary communication cost. Similarly the use of real data for CH selection increases communication cost. Additionally, no one algorithm has focus in security aspect of CH selection process. In this article Pattern Based secure CH Selection algorithm has been presented. This algorithm filters the ineligible nodes, puts them to sleep mode thereby restricting them from not participating in the CH selection process. Additionally the uses of pattern instead of real data in CH selection decrease communication cost and increase security of CH selection process. The simulation results show the improvement in lifetime and enhancement in security of CH selection.
机译:在无线移动传感器网络中选择群集头(CH)是一个重要任务。在最近的文献中已经呈现了许多算法。在这些算法中,无论其较少的资源如何,所有节点都允许争取CH选择过程。在CH选择过程中不合格节点的这种无义的节点参与会导致不必要的沟通成本。类似地,使用用于CH选择的实际数据增加了通信成本。此外,没有一种算法在CH选择过程的安全方面侧重于CH选择。在本文的文章中,基于模式的Secure CH选择算法已呈现。该算法过滤不合格的节点,将它们放到睡眠模式,从而限制它们不参与CH选择过程。另外,图案的用途代替CH选择中的实际数据会降低通信成本并提高CH选择过程的安全性。仿真结果表明了CH选择的寿命和增强的提高。

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