Directed Diffusion for Wireless Sensor Networking

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Directed Diffusion for Wireless Sensor Networking (2003)

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by Chalermek Intanagonwiwat , Ramesh Govindan , Deborah Estrin , John Heidemann , Fabio Silva

Venue:	IEEE/ACM Transactions on Networking
Citations:	673 - 9 self

BibTeX

@ARTICLE{Intanagonwiwat03directeddiffusion,
    author = {Chalermek Intanagonwiwat and Ramesh Govindan and Deborah Estrin and John Heidemann and Fabio Silva},
    title = {Directed Diffusion for Wireless Sensor Networking},
    journal = {IEEE/ACM Transactions on Networking},
    year = {2003},
    volume = {11},
    pages = {2--16}
}

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Abstract

Advances in processor, memory and radio technology will enable small and cheap nodes capable of sensing, communication and computation. Networks of such nodes can coordinate to perform distributed sensing of environmental phenomena. In this paper, we explore the directed diffusion paradigm for such coordination. Directed diffusion is datacentric in that all communication is for named data. All nodes in a directed diffusion-based network are application-aware. This enables diffusion to achieve energy savings by selecting empirically good paths and by caching and processing data in-network (e.g., data aggregation). We explore and evaluate the use of directed diffusion for a simple remote-surveillance sensor network analytically and experimentally. Our evaluation indicates that directed diffusion can achieve significant energy savings and can outperform idealized traditional schemes (e.g., omniscient multicast) under the investigated scenarios.

Keyphrases

wireless sensor networking directed diffusion directed diffusion-based network investigated scenario energy saving distributed sensing radio technology data in-network environmental phenomenon good path simple remote-surveillance sensor network significant energy saving idealized traditional scheme cheap node directed diffusion paradigm data aggregation omniscient multicast

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