Advanced Materials Research Vols. 433-440

Abstract: There are large numbers of infrastructure resources in network virtualization environment (NVE), how to quickly and accurately find the resources that virtual network required is a challenging problem. Pointing to this problem, a resource finding mechanism for network virtualization environment (NVERFM) is proposed. NVERFM is mainly comprised of three modules, virtual resources publishing module (VRPM), virtual resources clustering framework (VRCF), and virtual resources finding module (VRFM). VRPM is responsible for publishing the infrastructure resources to VRCF; and the published information contains functional and non-functional attributes. VRCF is responsible for classifying the published information into different clustering according to the attributes from high priority to low priority. VRFM mainly completes resource finding based on resource similarity principle. Finding the resource clustering that meet the user’s requirements; and then combinatorial auction mechanism is used to help users choose the optimal infrastructure resource. Finally, experiments are used to validate NVERFM, and the results show that NVERFM can not only help users find the optimal resource, but also improve the efficiency.

Abstract: This paper proposed a novel handoff algorithm for cognitive network based on wavelet analysis and fuzzy control system. It makes the system cognitive and adaptive to the changes of the environment by two steps: first, make wavelet analysis to the received signal to get the basic signal which is without noise. Second, use adaptive neuro-fuzzy inference system (ANFIS) to make diligent handoff decision. The simulation shows that it improves the performance of the whole system when the channel is in low signal-to-noise ratio.

Abstract: Based on sectional data regarding income and expenditure of Henan urban residents from 2006 to 2009, this paper applies ELES model to have a quantitative analysis of consumption expenditure structure of Henan urban and rural residents, involving three aspects including marginal propensity to consume, demand income elasticity and price elasticity. The results show that the marginal propensity to consume of rural residents is relatively low, the proportion of basic consumption expenditure in foodstuff and dwelling is large, giving priority to living type consumption, while some development potential for urban residents exists in the consumption of transportation, correspondence, culture and education, recreation and medical care.

Abstract: In order to ensure quality of highway alignment design, and reasonably evaluate the design proposal, the main factors which affect the highway alignment design, including horizontal alignment design, vertical section design and combination of horizontal and vertical design, are analyzed. Based on these key factors, a system of evaluation based on game theory is constructed and the evaluation index is normalized from both qualitative and quantitative view. So an evaluation model of highway alignment design is established. Under the situation of highway alignment designs, the model and fuzzy comprehensive evaluation method are applied to determine the most suitable alignment design for that city. The best choice, design 3rd, is identical, but the sort of design 2nd and design 4th is not consistent with each other for the reason of large deviation of weight of the fuzzy comprehensive evaluation method. Because the evaluation model based on game theory can better determine the optimal weight, the evaluation is more reliable and it meets the practice. The results show that the model is effective and reliable.

Abstract: In order to analyze and evaluate real-time performance of CAN network, the OPNET models of CAN network with Fixed Priority Scheduling (FPS) and Earliest Deadline First (EDF) have been set up in this paper. Based on simulation experiments, the performances of average delay and transmission success ratio in the two models are analyzed and the experiments also indicate that under normal load condition the two scheduling algorithm both can send data frame successfully before the deadline. In a slight overload condition FPS algorithm makes the transmission delay of low priority data frame significantly increased, and even occurs the phenomenon that low priority data frame can not be sent at all times; while the EDF algorithm can make all the nodes to complete the data frames in less than 3ms transmission delay, it meets the delay requirements that are delay should less than 10ms in most control systems, it indicates that EDF algorithm has the better scheduling and availability in soft real-time system.

Abstract: In this paper, we consider a TDMA-based wireless network and address two major issues, fading and interference, existing in wireless networks since fading will lead to low quality links and interference may lead to unfair channel allocation. Because channel allocation selects the proper channel for each logical link and routing determines through which logical links the packets should be forwarded, there is strong interaction between MAC layer and network layer. In this paper, we seek for the performance trend with more channels allocated and further compare the performances of Bellman-Ford and AODV routing protocols based on the Packet Deliver Rate (PDR) to MAC layer in multi-radio multi-channel multi-hop wireless networks. Numerical results are given and discussions as well as insights into performance aspects for multi-radio multi-channel deployment are provided.

Abstract: In view of the advantage of low voltage power line carrier technique and general packet radio service(GPRS), a solution of fan filter unit(FFU) motor remote mointoring system based on GPRS and low voltage power line communication is introduced. This system combines a framework of low voltage power line communication and GPRS network with host computer monitoring center, which changes the traditional FFU motor control mode, and realize FFU motor remote real-time on-line automatic monitoring.The system implementation methods were described in detail, and the hardware and sofware design were given.The test and practice showed that the proposed has higher efficient and stronger anti-interference capability, which met the requirements of networkization and intelligentization, and a better way for the FFU motor control. The designed system has good application value.

Abstract: A steganographic scheme for JPEG compressed image with high capacity and with good quality of the stego-image was presented. A quantization table of size 16*16 was used instead of the commonly used size 8*8 in most JPEG compression to obtain higher embedding capacity. In addition, to improve the quality of the stego-image, particle swarm optimization (PSO) was applied to find an optimal substitution matrix to transform the secret data into the best fit for the cover image before embedding. The experimental results show that, for the proposed scheme, the improvement of the quality of the stego-image and a higher capacity of the secret data was achieved.

Abstract: Power saving is a very critical issue in wireless sensor network. Many schemes for power saving can be found in the literature, but these schemes barely consider different topology of nodes. In this paper, based on S-MAC algorithm, NALS-MAC algorithm is designed and combined with the characters of application background of wireless mesh sensor networks. According to the number of neighbor nodes, sensor nodes self-adaptively generate the listen-time during a period respectively. The node with more neighbors will have longer listen-time, because more neighbors means higher probability of heavy traffic. The nodes need longer time to deal with information than nodes with low traffic. The results show that the sensor nodes adjusting the listen-time self-adaptively in proper way achieves the reduction of end-to-end delay and enhance throughout.

Abstract: Various data-centric web applications are becoming the developing trend of information society. Cloud computing currently adopt column-oriented storage wide table to represent the heterogeneous structured data of these applications. The wide table reduces the waste of storage space, but slows down query efficiency. The paper implements the hybrid partition on access frequent (HPAF) to horizontally and vertically partition a wide table. It uses a variant of consistent hashing to dynamically horizontally partition a wide table across multiple storage nodes on each node’s performance; It use entropy to represent the number of reducing access data block from the table with N columns than from N column-oriented storage tables. According to the second law of thermodynamics, the paper designs an entropy increasing clustering algorithm to classify the columns of a wide table. The algorithm finds a cluster with multiple classes which save maximum access time. The paper implements an algorithm for structured query across multiple materialized views too. Lastly the paper demonstrates the query performance and storage efficiency of our strategy compared to single column storage.