Research on the Wireless Sensor Network Management Methodologies based on the Runtime Model and Game Theory

Wenzhun Huang,Shanwen Zhang 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.3

In this paper, we conduct research on the wireless sensor network management methods based on the runtime model. With the deepening of the research, scalability and maintainability of wireless sensor network has become an important target of its application promotion. Consider that the nodes randomly distributed monitoring area, looking for a complete coverage of this area several disjoint nodes which uses genetic algorithm to optimize the network survival time nodes and corresponding coverage. From the point of view of software engineering, most of the specific software system knowledge hidden in the program and document, the model as the main content of the document and procedures of high-level abstractions. The management of the network is urgently needed. As the additional research, we also conduct theoretical analysis on the wireless sensor network security enhancement methodology with the tradition game theory and mathematical optimization approaches which will be meaningful. Game theory is on the interaction between much of decision-making behavior has, according to the different subjects in the control information and the cognition of their own capabilities which will be a novel method for the analysis. The numerical simulation shows that our method performed better compared with other related approaches. In the future, more research will be conducted to polish the current method.

Research on Estimation Techniques for Rician Fading Multiple-Input and Multiple-Output Channels : A Theoretical Approach

Wenzhun Huang,Shanwen Zhang 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.3

In this paper, the performance of the single-estimation and multiple-estimation is investigated in multiple-input multiple-output (MIMO) Rician flat fading channels using the traditional least squares estimator and the Bayesian minimum mean square error estimator. In high-speed mobile environment, relatively severe channel conditions change, at this point, the sender is difficult to obtain more accurate of the instantaneous channel state information, for the implementation of adaptive MIMO transmission under this scenario. The MIMO techniques can be combined with space-time coding technique for coding diversity gain and also can use a simple multiplexing transmission in order to improve the transmission rate. The pseudo random sequence is certain, but it has many properties similar to that of the random binary data. Such as any two pseudo random sequence of cross correlation is small. In the research, we combine the basic theory of the state-of-the algorithm to propose our method. In the experimental part, we compare our method with other related state-of-the-art algorithms. The result proves the effectiveness and feasibility of the proposed method. In the near future, we plan to conduct more literature review and theoretical analysis to modify and optimize our current method.

Research on the Primary Features of the Internet of Things System and the Corresponding Data Communication Characteristics based on Sparse Coding and Joint Deep Neural Network

Jianping PAN,Wenzhun HUANG,Shanwen ZHANG 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.10

In this paper, we conduct research on issues related to the primary features of the Internet of things system and the corresponding data communication characteristics based on sparse coding and joint deep neural network. Internet of things is more than the underlying device difference communication method and it is the Internet of things needs to study in the field of hot issue. Using traditional algorithm for Internet communication equipment need particle filter was carried out on the acquisition of communication signal processing. Communication technology enables the Internet of things will perceive the information between different terminals for efficient transmission and exchange, exchange and sharing and the information resources is the key to the functions of things. To enhance the robustness and efficiency of the current IOT systems, we adopt the sparse coded dictionary learning theory to detect the size of the data and optimize the compressive sensing technique to modify the resolution. With the advances of the deep neural network, we analyze the topology of the system network structure and extract the pattern features and characteristics to make the signal transmission process more quickly and feasible. To enhance the objective function, we obtain the restricted optimization algorithm to help terminate the iteration for the higher efficiency. In the final part, we simulation our algorithm for times compared with other well-performed approaches. The result indicates that our method outperforms both in the accuracy layer an in the time-consuming layer which will hold specific meaning.

Systematic identification and characterization of miRNAs and piRNAs from porcine testes

Bo Weng,Maoliang Ran,Maisheng Wu,Fuzhi Peng,Lianhua Dong,Changqing He,Shanwen Zhang,Zhaohui Li,Bin Chen 한국유전학회 2017 Genes & Genomics Vol.39 No.10

microRNAs (miRNAs) and PIWI-interacting RNAs (piRNAs) execute important regulatory roles in testis development and spermatogenesis, while previous studies mainly focus on the expression profiles in immature and mature porcine testes, which may cause a bottleneck for further understanding their complex physiological processes in porcine testes development and spermatogenesis. Thus, we presented the expression and characterization of miRNAs and piRNAs in DS (60-day-old), DN (90-dayold), DT (120-day-old) and DF (150-day-old) pig testes. In total, 12,834,628, 13,359,726, 12,851,249 and 12,938,601 clean reads were generated from these libraries, respectively. 293 mature and 36 novel miRNAs as well as 4923 piRNA clusters were identified from pig testes, and they showed an age-dependent manner. GO enrichment analysis of miRNA target genes and piRNA generated genes showed that they participated widely in regulating the pig spermatogenesis process. In addition, 12 differentially expressed miRNAs were randomly selected to validate using qRT-PCR. Our results provided novel comprehensive expression profiles of miRNAs and piRNAs in pig testes at different stages of sexual maturity, which will promote our knowledge of them in regulating the pig testes development and spermatogenesis process.

Strand-specific RNA sequencing in pig testes identifies developmentally regulated genes and circular RNAs

Maoliang Ran,Bo Weng,Maisheng Wu,Changqing He,Shanwen Zhang,Bin Chen 한국유전학회 2017 Genes & Genomics Vol.39 No.10

Testicular development and spermatogenesis are strictly regulated with the complex interactions between several cell types in testis. However, the limited availability of genomic and molecular information limits our understanding of this complex physiological process. In this study, we characterized the transcriptome between immature (30-day-old) and mature (180-day-old) pig testes using RNA-seq technology. 24,469 known coding gene transcripts corresponding to 20,566 genes were mapped in these two developmental stages, 3,328 genes were differentially expressed, and numerous novel transcripts and alternative splicing events were also identified. Ten differentially expressed genes were validated by measuring the relative expression using real-time quantitative polymerase chain reaction (PCR). 125 Gene Ontology (GO) terms were significantly enriched, and most of them involved in GO terms related to male reproduction, testicular development, and spermatogenesis. In addition, this study also represented the prediction of 10,000 circRNAs, as well as the validation of six pig circRNAs using Find_cric algorithm. Our study substantially expanded our knowledge about the transcriptomic profile of immature and mature pig testes, and provided a useful resource to study the mechanisms of pig testis development and spermatogenesis at the molecular level.