Directed diffusion for wireless sensor networking

  • Authors:

  • Chalermek Intanagonwiwat;Ramesh Govindan;Deborah Estrin;John Heidemann;Fabio Silva

  • Affiliations:

  • Chulalongkorn University, Bangkok, Thailand;University of Southern California, Los Angeles, CA;University of California, Los Angeles, CA;University of Southern California, Marina del Rey, CA;University of Southern California, Marina del Rey, CA

  • Venue:
  • IEEE/ACM Transactions on Networking (TON)
  • Year:
  • 2003

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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 data-centric 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.