With the requirements of multimedia service increasing in people＇ s life, sensor modules such as microphone, camera are added in the smart home＇ s sensor network, and the acquisition and processing of a large amount...With the requirements of multimedia service increasing in people＇ s life, sensor modules such as microphone, camera are added in the smart home＇ s sensor network, and the acquisition and processing of a large amount of information media such as audio, image and video is becoming a significant characteristics of smart home. The paper focuses on solving the following technical problems： the building of Zigbee multimedia network, the Design and selection of multimedia sensor node. These provide the basic network platform and the core technical support for the building of smart home.展开更多
In this paper, a clustering algorithm is proposed based on the high correlation among the overlapped field of views for the wireless multimedia sensor networks. Firstly, by calculating the area of the overlapped field...In this paper, a clustering algorithm is proposed based on the high correlation among the overlapped field of views for the wireless multimedia sensor networks. Firstly, by calculating the area of the overlapped field of views （FoVs） based on the gird method, node correlations have been obtained. Then, the algorithm utilizes the node correlations to partition the network region in which there are high correlation multimedia sensor nodes. Meanwhile, in order to minimize the energy consumption for transmitting images, the strategy of the cluster heads election is proposed based on the cost estimation, which consists of signal strength and residual energy as well as the node correlation. Simulation results show that the proposed algorithm can balance the energy consumption and extend the network lifetime effectively.展开更多
In combination of the characteristic of the network architecture of wireless multimedia sensor networks （WMSNs）, a distributed multi-node cooperative network （DMCN） model is designed by using the concept of in-net...In combination of the characteristic of the network architecture of wireless multimedia sensor networks （WMSNs）, a distributed multi-node cooperative network （DMCN） model is designed by using the concept of in-network processing to improve their energy, memory and computational power. To balance the energy consumption of the network, according to roles division, camera nodes and common nodes are cooperated to accomplish the workload of image acquisition, compression and transmission. Camera nodes gather images and send blocking images to the common nodes in cluster. Common nodes adaptively compress the partitioned images by using a noise-tolerant distributed image compression （NDIC） algorithm based on principal component analysis （PCA） called NDIC-PCA algorithm and send the compressed data to the cluster head node. Then, the cluster head node sends the compressed image data to the station. Simulation results demonstrate that, DCNM can effectively balance the energy consumption of network and largely extend the network lifecycle. In addition, compared with previous algorithms, the proposed NDIC-PCA algorithm achieves higher peak signal to noise ratio without decreasing compression ratio.展开更多
文摘With the requirements of multimedia service increasing in people＇ s life, sensor modules such as microphone, camera are added in the smart home＇ s sensor network, and the acquisition and processing of a large amount of information media such as audio, image and video is becoming a significant characteristics of smart home. The paper focuses on solving the following technical problems： the building of Zigbee multimedia network, the Design and selection of multimedia sensor node. These provide the basic network platform and the core technical support for the building of smart home.
基金supported by the National Natural Science Foundation of China (60973139, 61170065, 61171053, 61003039, 61003236, 61103195)the Natural Science Foundation of Jiangsu Province (BK2011755)+10 种基金Scientific & Technological Support Project (Industry) of Jiangsu Province (BE2010197,BE2010198, BE2011844, BE2011189)Natural Science Key Fund for Colleges and Universities in Jiangsu Province (11KJA520001)the Jiangsu Provincial Research Scheme of Natural Science for Higher Education Institutions(10KJB520013, 11KJB520014,11KJB520016)Scientific Research & Industry Promotion Project for Higher Education Institutions(JH2010-14, JHB2011-9)Postdoctoral Foundation (20100480048)Science & Technology Innovation Fund for higher education institutions of Jiangsu Province (CX10B-196Z,CX10B-200Z,CXZZ11-0405, CXZZ11-0406, CXZZ11_0409)Doctoral Fund of Ministry of Education of China(20103223120007, 20113223110002)key Laboratory Foundation of Information Technology processing of Jiangsu Province (KJS1022)Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD),(K93-9-2010-13)the Project of Priority Academic Program Development of Jiangsu Higher Education Institutions (yx002001)Research Fund of Jiangsu Suqian College (2012ky17)
文摘In this paper, a clustering algorithm is proposed based on the high correlation among the overlapped field of views for the wireless multimedia sensor networks. Firstly, by calculating the area of the overlapped field of views （FoVs） based on the gird method, node correlations have been obtained. Then, the algorithm utilizes the node correlations to partition the network region in which there are high correlation multimedia sensor nodes. Meanwhile, in order to minimize the energy consumption for transmitting images, the strategy of the cluster heads election is proposed based on the cost estimation, which consists of signal strength and residual energy as well as the node correlation. Simulation results show that the proposed algorithm can balance the energy consumption and extend the network lifetime effectively.
文摘文章设计并实现一种可运行于无线多媒体传感网中的无线视频节点。采用低功耗的S3C2440(一款ARM处理器为核心的开发板)为处理核心,完成基于V4L2(Video 4linux 2,Linux中关于视频设备的内核驱动)的视频采集驱动及H.264硬件编解码,最终在其上运行实时传输协议(Real-time transport protocol,RTP),实现无线视频传输,取得了较好的传输效果。
基金supported by the National Natural Science Foundation of China(61300239,61373139,61572261)China Postdoctoral Science Foundation(2014M551635)+1 种基金Postdoctoral Fund of Jiangsu Province(1302085B)Jiangsu Government Scholarship for Overseas Studies(JS-2014-085)
文摘In combination of the characteristic of the network architecture of wireless multimedia sensor networks （WMSNs）, a distributed multi-node cooperative network （DMCN） model is designed by using the concept of in-network processing to improve their energy, memory and computational power. To balance the energy consumption of the network, according to roles division, camera nodes and common nodes are cooperated to accomplish the workload of image acquisition, compression and transmission. Camera nodes gather images and send blocking images to the common nodes in cluster. Common nodes adaptively compress the partitioned images by using a noise-tolerant distributed image compression （NDIC） algorithm based on principal component analysis （PCA） called NDIC-PCA algorithm and send the compressed data to the cluster head node. Then, the cluster head node sends the compressed image data to the station. Simulation results demonstrate that, DCNM can effectively balance the energy consumption of network and largely extend the network lifecycle. In addition, compared with previous algorithms, the proposed NDIC-PCA algorithm achieves higher peak signal to noise ratio without decreasing compression ratio.
