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A Distributed Approximate Algorithm for Minimal Connected Cover Set Problem in Sensor Networks

机译:一种分布式近似算法,用于传感器网络中的最小连接覆盖集问题

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For wireless sensor networks, it is an effective approach for energy conservation in wireless sensor networks to keep the most of redundant sensors asleep while the remaining nodes stay active to maintain both sensing coverage and network connectivity, i.e., to form the Minimal Connected Cover Set. A novel concept named "square grid partition" is proposed, and based on the good characteristics of "square grid partition", a new distributed approximate algorithm for constructing the Minimal Connected Cover Set is presented, in which, Sink partitions its area of interest into square grids firstly, and then broadcasts the partition information to all the sensors in the whole network. According to those received partition information of the area of interest, each sensor node will construct the Minimal Connected Cover Set of G through information exchanges among its neighbors only. Algorithm analysis and simulation results show that, the newly given algorithm outperforms the traditional similar algorithms in terms of the time complexity and the size of constructed connected cover set.
机译:对于无线传感器网络,它是无线传感器网络中节能的有效方法,以保持大多数冗余传感器睡着,而剩余节点保持活跃以维持感测覆盖范围和网络连接,即形成最小连接的盖板集。提出了一种名为“Square网格分区”的新颖概念,并基于“方形网格分区”的良好特性,提出了一种用于构建最小连接盖板的新的分布式近似算法,其中,接收到其感兴趣的区域首先,方形网格,然后将分区信息广播到整个网络中的所有传感器。根据感兴趣领域的那些接收的分区信息,每个传感器节点将通过其邻居之间的信息交换构成最小连接的G集G。算法分析和仿真结果表明,新给出的算法在时间复杂度和构造连接盖集合的时间的尺寸方面优于传统的类似算法。

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