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An Efficient and Secure Transmission Model Based on Compressive Sensing

机译:基于压缩感测的高效安全传输模型

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Compressive sensing (CS) can compress and reconstruct sparse or compressible signals with fewer samples than those of Nyquist-Shannon theorem requires. In order to meet the requirements of storage, energy-efficiency and security of wireless sensor networks (WSNs) simultaneously, we propose an efficient and secure transmission model based on compressive sensing and hash-chain theory. Compared with the traditional compressive sensing, only the initial key and the hash function are used in the sensor node to decrease the storage space. And the characteristics of hash-chain assure the security of data transmission. The numerical experiments are performed to show the feasibility and the effectiveness of the proposed model.
机译:压缩传感(CS)可以压缩和重建稀疏或可压缩信号,比尼与香农定理所需的更少。为了同时满足无线传感器网络(WSNS)的存储,能量效率和安全性的要求,我们提出了一种基于压缩感测和哈希链理论的高效和安全的传输模型。与传统的压缩感测相比,​​在传感器节点中仅使用初始键和散列函数来减少存储空间。哈希链的​​特点确保数据传输的安全性。进行数值实验以表明所提出的模型的可行性和有效性。

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