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- 저자 : Guihu Liu (검색결과 3 건)
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Zhang, Jinhuan,Long, Jun,Liu, Anfeng,Zhao, Guihu The Korea Institute of Information and Commucation 2016 Journal of communications and networks Vol.18 No.2
Data collection is a key function for wireless sensor networks. There has been numerous data collection scheduling algorithms, but they fail to consider the deep and complex relationship among network lifetime, sink aggregated information and sample cycle for wireless sensor networks. This paper gives the upper bound on the sample period under the given network topology. An optimal schedule algorithm focusing on aggregated information named OSFAI is proposed. In the schedule algorithm, the nodes in hotspots would hold on transmission and accumulate their data before sending them to sink at once. This could realize the dual goals of improving the network lifetime and increasing the amount of information aggregated to sink. We formulate the optimization problem as to achieve trade-off among sample cycle, sink aggregated information and network lifetime by controlling the sample cycle. The results of simulation on the random generated wireless sensor networks show that when choosing the optimized sample cycle, the sink aggregated information quantity can be increased by 30.5%, and the network lifetime can be increased by 27.78%.
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Jinhuan Zhang,Jun Long,Anfeng Liu,Guihu Zhao 한국통신학회 2016 Journal of communications and networks Vol.18 No.2
Data collection is a key function for wireless sensor networks. There has been numerous data collection scheduling algorithms,but they fail to consider the deep and complex relationshipamong network lifetime, sink aggregated information and samplecycle for wireless sensor networks. This paper gives the upperbound on the sample period under the given network topology. An optimal schedule algorithm focusing on aggregated informationnamed OSFAI is proposed. In the schedule algorithm, the nodesin hotspots would hold on transmission and accumulate their databefore sending them to sink at once. This could realize the dualgoals of improving the network lifetime and increasing the amountof information aggregated to sink. We formulate the optimizationproblem as to achieve trade-off among sample cycle, sink aggregatedinformation and network lifetime by controlling the samplecycle. The results of simulation on the random generated wirelesssensor networks show that when choosing the optimized sample cycle,the sink aggregated information quantity can be increased by30.5%, and the network lifetime can be increased by 27.78%.
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Comparative transcriptome analysis of root hairs proliferation induced by water deficiency in maize
Tingchun Li,Huaying Yang,Wei Zhang,Dafeng Xu,Qing Dong,Fang Wang,Yanli Lei,Guihu Liu,Yingbing Zhou,Hongjian Chen,Cheng Li 한국식물학회 2017 Journal of Plant Biology Vol.60 No.1
Root hairs functions as water channels and nutritional components transporters in plants. It has been shown to enhance nutrient uptake including phosphate, nitrogen, potassium and calcium. In the experiment, the droughtinduced root hairs were collected. By transcriptome sequence and analysis, the molecular mechanisms and differentially expressed genes related to root hairs growth and development were studied. As a result, by using the HiSeq 2500 platform, 61,872,790 clean reads with 96.23% Q20 bases and 9.28 Gb clean bases with 58.88% GC ratio were obtained for normal root. In contrast with Control group, 67,650,572 clean reads with 96.43% Q20 bases and 10.15 Gb clean bases with 58.3% GC content were obtained for drought-induced root hairs. Totally, 323 differentially expressed genes (DEGs) were identified. Among these DEGs, 109 genes were upregulated and 214 genes were downregulated in drought-induced root hairs. Moreover, metabolic pathway enrichment analysises on the 323 DEGs revealed that totally 10 metabolic pathways were distinctly regulated. In details, alanine, aspartate and alutamate metabolism, galactose metabolism and nitrogen metabolism were significantly upregulated. 7 metabolic pathways such as phenylpropanoid biosynthesis, phenylalanine metabolism, biosynthesis of secondary metabolites and flavonoid biosynthesis were significantly downregulated. Furthermore, functional genes and transcription factors were both found to be involved in drought-induced root hair proliferation. These results will help us understand better the molecular mechanism of maize root hair growth and development.
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