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    TCOM
    2010
    159views more  TCOM 2010»
    Evolutionary cooperative spectrum sensing game: how to collaborate?
    13 years 6 months ago
    Evolutionary cooperative spectrum sensing game: how to collaborate?
    Download  www.ece.umd.edu
    —Cooperative spectrum sensing has been shown to be able to greatly improve the sensing performance in cognitive radio networks. However, if cognitive users belong to different se...
    Beibei Wang, K. J. Ray Liu, T. Charles Clancy
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    TMC
    2010
    210views more  TMC 2010»
    Exploiting Reactive Mobility for Collaborative Target Detection in Wireless Sensor Networks
    13 years 6 months ago
    Exploiting Reactive Mobility for Collaborative Target Detection in Wireless Sensor Networks
    Download  www.ee.cityu.edu.hk
    —Recent years have witnessed the deployments of wireless sensor networks in a class of mission-critical applications such as object detection and tracking. These applications oft...
    Rui Tan, Guoliang Xing, Jianping Wang, Hing-Cheung...
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    TMC
    2010
    143views more  TMC 2010»
    Decentralized QoS-Aware Checkpointing Arrangement in Mobile Grid Computing
    13 years 6 months ago
    Decentralized QoS-Aware Checkpointing Arrangement in Mobile Grid Computing
    Download  people.cs.vt.edu
    —This paper deals with decentralized, QoS-aware middleware for checkpointing arrangement in Mobile Grid (MoG) computing systems. Checkpointing is more crucial in MoG systems than...
    Paul J. Darby III, Nian-Feng Tzeng
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    TON
    2010
    147views more  TON 2010»
    Coverage-time optimization for clustered wireless sensor networks: a power-balancing approach
    13 years 6 months ago
    Coverage-time optimization for clustered wireless sensor networks: a power-balancing approach
    Download  www2.engr.arizona.edu
    —In this paper, we investigate the maximization of the coverage time for a clustered wireless sensor network (WSN) by optimal balancing of power consumption among cluster heads (...
    Tao Shu, Marwan Krunz
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    CODES
    2010
    IEEE
    163views Software Engineering» more  CODES 2010»
    Statistical approach in a system level methodology to deal with process variation
    13 years 6 months ago
    Statistical approach in a system level methodology to deal with process variation
    Download  artecs.dacya.ucm.es
    The impact of process variation in state of the art technology makes traditional (worst case) designs unnecessarily pessimistic, which translates to suboptimal designs in terms of...
    Concepción Sanz Pineda, Manuel Prieto, Jos&...
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