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A Novel Simple Distributed Algorithm for Cluster Organization of Wireless Sensor Networks

机译:一种新颖的无线传感器网络组织简单分布式算法

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This paper proposes an innovative distributed algorithm for cluster organization of Wireless Sensor Networks (WSN), named DSCO. Simple logic, connectionless information exchange and asynchronism are prominent features of the algorithm. DSCO involves three correlative processes: cluster organization, cluster reorganization and cluster self-healing. The process of cluster organization is the basic process of DSCO, which adopts random backoff strategy; the cluster reorganization and cluster self-healing processes are recursion of the former, which effectively simplifies the design of the algorithm. Furthermore, DSCO furthest isolates nodes and clusters, and reduces the reliance of global information to minimum, which is useful to reduce the pressure of data storage and processing in nodes, lessen the network traffic and enhance the anti-destroy ability of WSN. The algorithm simulation illustrates that DSCO can get fast clustering speed and uniform distribution of cluster nodes, proves its good performance on clustering rate and topology control, and shows good adaptability to large-scale WSN.
机译:本文提出了一种用于无线传感器网络(WSN)的集群组织的创新分布式算法,名为DSCO。简单的逻辑,无连接信息交换和异步是算法的突出特征。 DSCO涉及三个相关过程:群集组织,群集重组和集群自我修复。集群组织的过程是DSCO的基本过程,采用随机退避策略;集群重组和集群自我修复过程是前者的递归,这有效简化了算法的设计。此外,DSCO最远隔离节点和集群,并将全局信息依赖于最小值,这对于减少节点中的数据存储和处理的压力是有用的,减少网络流量并增强WSN的防破坏能力。算法模拟说明DSCO可以获得快速的聚类速度和群集节点的均匀分布,证明了对聚类速率和拓扑控制的良好性能,并对大规模WSN显示出​​良好的适应性。

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