GHT: A Geographic Hash Table for Data-Centric Storage

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GHT: A Geographic Hash Table for Data-Centric Storage (2002)

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by Sylvia Ratnasamy , Brad Karp , Li Yin , Fang Yu , Deborah Estrin , Ramesh Govindan , Scott Shenker

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392 - 30 self

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@INPROCEEDINGS{Ratnasamy02ght:a,
    author = {Sylvia Ratnasamy and Brad Karp and Li Yin and Fang Yu and Deborah Estrin and Ramesh Govindan and Scott Shenker},
    title = {GHT: A Geographic Hash Table for Data-Centric Storage},
    booktitle = {},
    year = {2002},
    pages = {78--87},
    publisher = {ACM Press}
}

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Abstract

Making effective use of the vast amounts of data gathered by largescale sensor networks will require scalable, self-organizing, and energy-efficient data dissemination algorithms. Previous work has identified data-centric routing as one such method. In an associated position paper [23], we argue that a companion method, data-centric storage (DCS), is also a useful approach. Under DCS, sensed data are stored at a node determined by the name associated with the sensed data. In this paper,

Keyphrases

data-centric storage geographic hash table energy-efficient data dissemination algorithm effective use vast amount previous work associated position paper companion method useful approach largescale sensor network data-centric routing

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