Showing 1 - 13 results of 13 for search 'Sensor network query processor~', query time: 3.84s Refine Results
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    Aggregate Queries in Wireless Sensor Networks by Jeong-Joon Kim, In-Su Shin, Yan-Sheng Zhang, Dong-Oh Kim, Ki-Joon Han

    Published 2012-09-01
    “…Recently as efficient processing of aggregate queries for fetching desired data from sensors has been recognized as a crucial part, in-network aggregate query processing techniques are studied intensively in wireless sensor networks. …”
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    Secure and Efficient Cluster-Based Range Query Processing in Wireless Sensor Networks by Liming Zhou, Yingzi Shan, Lu Chen

    Published 2018-01-01
    “…To deal with this problem, we propose a secure and efficient scheme for cluster-based query processing in wireless sensor networks. To preserve location privacy of sensors, we use anonymity method to confuse adversaries. …”
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    Design and Implementation of Spatial Operators and Energy-Efficient Query Processing Strategy in Wireless Sensor Network Database System by Chong sok Lim, Jeong-Hoon Lee, Minjee Park, Soon J. Hyun

    Published 2015-06-01
    “…Design and development of spatial query expressions and energy-efficient query processing strategy are important issues for sensor network database systems. …”
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    An Energy-Efficient Sequence-Aware Top- Monitoring Scheme in Wireless Sensor Networks by Myungho Yeo, Dongook Seong, Junho Park, Minje Ahn, Jaesoo Yoo

    Published 2013-11-01
    “…We focus on top- k monitoring in wireless sensor networks and propose a novel sequence-aware top- k monitoring algorithm called SAT. …”
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    Solving the Fragment Complexity of Official, Social, and Sensorial Urban Data by Hui Liu, Jingqing Jiang, Yaowei Hou, Jie Song

    Published 2020-01-01
    “…Sources of urban data are generally categorized as one of the three types: official, social, and sensorial, which are from the government and enterprises, social networks of citizens, and the sensor network. These types typically differ significantly from each other but are consolidated together for the smart urban services. …”
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