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Combination of analog network coding and compressed sensing in clustered chain-type topology

机译:集群链式拓扑中模拟网络编码与压缩感知的结合

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Transmission in wireless sensor network (WSN) is energy intensive and time consuming. To solve this problem, combination of Analog Network Coding (ANC) and Compressed Sensing (CS) scheme is proposed to save transmission and time slots cost (TSC) in chain-type topology. In this paper, the WSN is divided into many rectangular areas. Then each rectangular area is divided into many clusters, and head nodes of these clusters form the chain-type topology which can take full advantage of the combination of ANC and CS scheme. Analysis and simulations show that with effective partition of clusters, our scheme can achieve perfect transmission and TSC performances with little loss, and it can save transmission and TSC by a factor of more than 10 when compared with other schemes in our simulation. Besides, our scheme is much more energy-saving and lifetime of our scheme outperforms the contrastive schemes.
机译:无线传感器网络(WSN)中的传输耗能且耗时。为了解决这个问题,提出了模拟网络编码(ANC)和压缩感知(CS)方案的组合,以节省链式拓扑中的传输和时隙成本(TSC)。在本文中,WSN分为许多矩形区域。然后将每个矩形区域划分为许多簇,这些簇的头节点形成链型拓扑,可以充分利用ANC和CS方案的组合。分析和仿真表明,通过有效的集群划分,我们的方案可以实现完美的传输和TSC性能,而损失很小,与仿真中的其他方案相比,可以节省传输和TSC十倍以上。此外,我们的方案更加节能,并且方案的寿命超过了对比方案。

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