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Titlebook: Distributed Computing in Sensor Systems; Third IEEE Internati James Aspnes,Christian Scheideler,Samuel Madden Conference proceedings 2007 S

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發(fā)表于 2025-3-21 16:54:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Distributed Computing in Sensor Systems
副標(biāo)題Third IEEE Internati
編輯James Aspnes,Christian Scheideler,Samuel Madden
視頻videohttp://file.papertrans.cn/282/281860/281860.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Distributed Computing in Sensor Systems; Third IEEE Internati James Aspnes,Christian Scheideler,Samuel Madden Conference proceedings 2007 S
描述.The book constitutes the refereed proceedings of the Third International Conference on Distributed Computing in Sensor Systems, DCOSS 2007, held in Sante Fe, NM, USA in June 2007...The 27 revised full papers presented were carefully reviewed and selected from 71 submissions. The papers class in three tracks covering the areas of algorithms, applications, and systems, thus bridging the gap between theory and practice and between the broader field of distributed computing and the specific issues arising in sensor networks and related systems..
出版日期Conference proceedings 2007
關(guān)鍵詞Bridge; Routing; ad-hoc networks; algorithm; algorithms; distributed computing; distributed systems; energy
版次1
doihttps://doi.org/10.1007/978-3-540-73090-3
isbn_softcover978-3-540-73089-7
isbn_ebook978-3-540-73090-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
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Optimizing End to End Routing Performance in Wireless Sensor Networks,size nodes’ virtual coordinates, which makes it possible for greedy forwarding to guide a packet along an optimal routing path. Our performance evaluation based on both the MICA2 sensor platform and TOSSIM simulator shows that the greedy forwarding based on ETX-embedding outperforms previous geograp
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Improving Event-to-Sink Throughput in Wireless Sensor Networks,high reliable individual packet delivery, reduces channel throughput when measured data is reported at high rate. To provide optimal data transport in a sensor network with bursting data generation, we propose a light weight sink centric transport protocol, which maximizes the channel throughput by
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Dwarf: Delay-aWAre Robust Forwarding for Energy-Constrained Wireless Sensor Networks,partial flooding along with a delay-aware node selection strategy. Our analysis and extensive simulations of real-world scenarios show that Dwarf tolerates large fractions of link and node failures, yet is energy efficient enough to allow for an operational lifetime of several years.
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Localization for Anchoritic Sensor Networks,s, or a function of the measurements, e.g., “1” when the measured signal is above a threshold, and “0” otherwise. These time-stamped sequences are ultimately transferred to the sink. The localization problem is then approached by analyzing the correlations between these sequences at pairs of nodes..
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