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Compressed Sensing based recovery algorithms are bounded by limitations such as recovery error and high computational requirements. This work presents a novel algorithm based on Orthogonal Matching Pursuit algorithm for efficient and fast data recovery in wireless sensor networks. The proposed algorithm significantly reduces the number of iterations required to recover the original data in a relatively...
When something abnormal suddenly occurs in a network, for instance, an unknown link is disconnected or give an extremely long delay, we need to immediately identify the abnormal link to remediate it. Compressed sensing-based network tomography can efficiently identify such abnormal links, by measuring packet transmission behaviors over fewer end-to-end routes. Its performance largely depends on pre-selection...
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