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    AVSS
    2009
    IEEE
    297views Signal Processing» more  AVSS 2009»
    Multimodal Abandoned/Removed Object Detection for Low Power Video Surveillance Systems
    13 years 3 months ago
    Multimodal Abandoned/Removed Object Detection for Low Power Video Surveillance Systems
    Download  vision.deis.unibo.it
    Low-cost and low-power video surveillance systems based on networks of wireless video sensors will enter soon the marketplace with the promise of flexibility, quick deployment an...
    Michele Magno, Federico Tombari, Davide Brunelli, ...
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    CASES
    2009
    ACM
    130views System Software» more  CASES 2009»
    An accelerator-based wireless sensor network processor in 130nm CMOS
    14 years 5 days ago
    An accelerator-based wireless sensor network processor in 130nm CMOS
    Download  www.eecs.harvard.edu
    Networks of ultra-low-power nodes capable of sensing, computation, and wireless communication have applications in medicine, science, industrial automation, and security. Over the...
    Mark Hempstead, Gu-Yeon Wei, David Brooks
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    PERCOM
    2008
    ACM
    194views Computer Networks» more  PERCOM 2008»
    On-demand Video Streaming in Mobile Opportunistic Networks
    14 years 5 months ago
    On-demand Video Streaming in Mobile Opportunistic Networks
    Download  cs.nju.edu.cn
    Providing on-demand video streaming services to large numbers of nodes in mobile wireless networks is a challenging task. We propose MOVi (Mobile Opportunistic Video-on-demand), a...
    Hayoung Yoon, JongWon Kim, Feiselia Tan, Robert Hs...
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    MOBICOM
    2009
    ACM
    235views Communications» more  MOBICOM 2009»
    Revenue maximization and distributed power allocation in cognitive radio networks
    14 years 5 days ago
    Revenue maximization and distributed power allocation in cognitive radio networks
    Download  medianetlab.ee.ucla.edu
    Cognitive radio is an enabling technology that allows unlicensed users to opportunistically access the spectrum in order to enhance the spectrum efficiency. In this paper, we cons...
    Shaolei Ren, Mihaela van der Schaar
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    IPSN
    2007
    Springer
    130views Sensor Networks» more  IPSN 2007»
    The worst-case capacity of wireless sensor networks
    13 years 11 months ago
    The worst-case capacity of wireless sensor networks
    Download  research.microsoft.com
    The key application scenario of wireless sensor networks is data gathering: sensor nodes transmit data, possibly in a multi-hop fashion, to an information sink. The performance of...
    Thomas Moscibroda
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