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Directed diffusion: a scalable and robust communication paradigm for sensor networks
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Source International Conference on Mobile Computing and Networking archive
Proceedings of the 6th annual international conference on Mobile computing and networking table of contents
Boston, Massachusetts, United States
Pages: 56 - 67  
Year of Publication: 2000
ISBN:1-58113-197-6
Authors
Chalermek Intanagonwiwat  USC/Inforrnation Sciences Institute
Ramesh Govindan  USC/Inforrnation Sciences Institute
Deborah Estrin  USC/Information Sciences Institute and University of California, Los Angeles
Sponsors
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
IEICE : Inst of Electronics, Info & Communication Engineers
IFIP WG 6.3 : IFIP WG 6.3
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
Publisher
ACM  New York, NY, USA
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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. We explore and evaluate the use of directed diffusion for a simple remote-surveillance sensor network.


REFERENCES

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