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COUGAR: the network is the database

Published: 03 June 2002 Publication History

Abstract

The widespread distribution and availability of small-scale sensors, actuators, and embedded processors is transforming the physical world into a computing platform. One such example is a sensor network consisting of a large number of sensor nodes that combine physical sensing capabilities such as temperature, light, or seismic sensors with networking and computation capabilities [1]. Applications range from environmental control, warehouse inventory, health care to military environments. Existing sensor networks assume that the sensors are preprogrammed and send data to a central frontend where the data is aggregated and stored for offfsline querying and analysis. This approach has two major draw-backs. First, the user cannot change the behavior of the system on the fly. Second, communication in today's networks is orders of magnitude more expensive than local computation, thus in-network processing can vastly reduce resource usage and thus extend the lifetime of a sensor network.This demo demonstrates a database approach to unite the seemingly conflicting requirements of scalability and flexibility in monitoring the physical world. We demonstrate the COUGAR System, a new distributed data management infrastructure that scales with the growth of sensor interconnectivity and computational power on the sensors over the next decades. Our system resides directly on the sensor nodes and creates the abstraction of a single processing node without centralizing data or computation.

References

[1]
D. Estrin, R. Govindan, J. Heidemann, and S. Kumar. Next century challenges: Scalable coordination in sensor networks. pages 263-270.
[2]
J. Hill, R. Szewczyk, A. Woo, D. Culler, S. Hollar, and K. Pister. System architecture directions for networked sensors. ACM SIGPLAN Notices, 35(11):93-104, Nov. 2000.
[3]
C. Intanagonwiwat, R. Govindan, and D. Estrin. Directed diffusion: A scalable and robust communication paradigm for sensor networks. pages 56-67.
[4]
S. C. www.sensoria.com. Wins ng 2.0 user guide. White paper, July 2001.

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cover image ACM Conferences
SIGMOD '02: Proceedings of the 2002 ACM SIGMOD international conference on Management of data
June 2002
654 pages
ISBN:1581134975
DOI:10.1145/564691
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 June 2002

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SIGMOD '02 Paper Acceptance Rate 42 of 240 submissions, 18%;
Overall Acceptance Rate 785 of 4,003 submissions, 20%

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