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Layer-sensing Mechanism for Multihop Wireless Sensor Networks

机译:多跳无线传感器网络的层感知机制

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Large-scale Wireless Sensor Network always has the problem of mass data processing, while the multi-hop transmission would cause the load distribution funnel-shaped. To solve this kind of problem, we propose a layer-sensing mechanism for multi-hop wireless sensor networks and deeply analyze its performance in different situations. Involving Compressive Sensing Theory, the novel layer-sensing mechanism just need to transmit fewer dimension measurement values and easily reconstruct mass data from just a small number of data with high accuracy and efficiency. New method can really achieve the mass data processing, and has significantly performance in balancing network transmission load and prolonging the network time.
机译:大规模的无线传感器网络一直存在海量数据处理的问题,而多跳传输将导致负载分布呈漏斗状。为了解决这种问题,我们提出了一种用于多跳无线传感器网络的层传感机制,并深入分析了其在不同情况下的性能。涉及压缩感测理论,新颖的层感测机制只需要传输较少的尺寸测量值,即可轻松地从少量数据中以高精度和高效率重建大量数据。新方法可以真正实现海量数据处理,在平衡网络传输负载和延长网络时间方面具有显着的性能。

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