A SENSOR NETWORK DATA COMPRESSION ALGORITHM BASED ON SUBOPTIMAL CLUSTERING AND VIRTUAL LANDMARK ROUTING WITHIN CLUSTERS

A Sensor Network Data Compression Algorithm Based on Suboptimal Clustering and Virtual Landmark Routing Within Clusters

A kind of data compression algorithm for sensor networks based on suboptimal clustering and virtual landmark routing within clusters is proposed in this paper.Firstly, temporal redundancy existing in data obtained by the same node in sequential Automotive Rims instants can be eliminated.Then sensor networks nodes will be clustered.Virtual node land

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CircASXL1 knockdown represses the progression of colorectal cancer by downregulating GRIK3 expression by sponging miR-1205

Abstract Background Colorectal cancer (CRC) is a common aggressive tumor that poses a heavy burden to human health.An increasing number of studies have reported that circular RNA (circRNA) is involved in the progression of CRC.In this study, the special profiles of circASXL1 (circ_0001136) in CRC progression were revealed.Methods The expression of

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A Novel Bayesian Super-Resolution Method for Radar Forward-Looking Imaging Based on Markov Random Field Model

Super-resolution technology is considered as an efficient approach to promote the image quality of forward-looking imaging radar.However, super-resolution technology is inherently an ill-conditioned issue, whose solution is quite susceptible to noise.Bayesian method can efficiently alleviate this issue through utilizing prior knowledge of the imagi

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