An overview of data aggregation architecture for real-time tracking with sensor networks

Tian He; Lin Gu; Liqian Luo; Ting Yan; John A. Stankovic; Sang H. Son

doi:10.1109/IPDPS.2006.1639413

An overview of data aggregation architecture for real-time tracking with sensor networks

Tian He, Lin Gu, Liqian Luo, Ting Yan, John A. Stankovic, Sang H. Son

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Scopus citations

Abstract

Since sensor nodes normally have limited resources in terms of energy, bandwidth and computation capability, efficiency is a key design goal in sensor network research. As one of techniques to achieve efficiency, data aggregation has been extensively investigated in recent literature. Previous research on data aggregation has demonstrated its effectiveness in reducing traffic, easing congestion and decreasing the energy consumption. However few are actually designed for a real-world application and implemented in a running system. This paper describes our design and implementation of a physical tracking system, using an aggressive data aggregation architecture as one of building blocks. This architecture can be generally applied to other sensor systems, where communication efficiency is a paramount concern and networking resources are limited.

Original language	English (US)
Title of host publication	20th International Parallel and Distributed Processing Symposium, IPDPS 2006
Publisher	IEEE Computer Society
ISBN (Print)	1424400546, 9781424400546
DOIs	https://doi.org/10.1109/IPDPS.2006.1639413
State	Published - Jan 1 2006
Event	20th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2006 - Rhodes Island, Greece Duration: Apr 25 2006 → Apr 29 2006

Publication series

Name	20th International Parallel and Distributed Processing Symposium, IPDPS 2006
Volume	2006

Other

Other	20th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2006
Country/Territory	Greece
City	Rhodes Island
Period	4/25/06 → 4/29/06

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IPDPS.2006.1639413

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He, T., Gu, L., Luo, L., Yan, T., Stankovic, J. A., & Son, S. H. (2006). An overview of data aggregation architecture for real-time tracking with sensor networks. In 20th International Parallel and Distributed Processing Symposium, IPDPS 2006 [1639413] (20th International Parallel and Distributed Processing Symposium, IPDPS 2006; Vol. 2006). IEEE Computer Society. https://doi.org/10.1109/IPDPS.2006.1639413

An overview of data aggregation architecture for real-time tracking with sensor networks. / He, Tian; Gu, Lin; Luo, Liqian et al.
20th International Parallel and Distributed Processing Symposium, IPDPS 2006. IEEE Computer Society, 2006. 1639413 (20th International Parallel and Distributed Processing Symposium, IPDPS 2006; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

He, T, Gu, L, Luo, L, Yan, T, Stankovic, JA & Son, SH 2006, An overview of data aggregation architecture for real-time tracking with sensor networks. in 20th International Parallel and Distributed Processing Symposium, IPDPS 2006., 1639413, 20th International Parallel and Distributed Processing Symposium, IPDPS 2006, vol. 2006, IEEE Computer Society, 20th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2006, Rhodes Island, Greece, 4/25/06. https://doi.org/10.1109/IPDPS.2006.1639413

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abstract = "Since sensor nodes normally have limited resources in terms of energy, bandwidth and computation capability, efficiency is a key design goal in sensor network research. As one of techniques to achieve efficiency, data aggregation has been extensively investigated in recent literature. Previous research on data aggregation has demonstrated its effectiveness in reducing traffic, easing congestion and decreasing the energy consumption. However few are actually designed for a real-world application and implemented in a running system. This paper describes our design and implementation of a physical tracking system, using an aggressive data aggregation architecture as one of building blocks. This architecture can be generally applied to other sensor systems, where communication efficiency is a paramount concern and networking resources are limited.",

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AB - Since sensor nodes normally have limited resources in terms of energy, bandwidth and computation capability, efficiency is a key design goal in sensor network research. As one of techniques to achieve efficiency, data aggregation has been extensively investigated in recent literature. Previous research on data aggregation has demonstrated its effectiveness in reducing traffic, easing congestion and decreasing the energy consumption. However few are actually designed for a real-world application and implemented in a running system. This paper describes our design and implementation of a physical tracking system, using an aggressive data aggregation architecture as one of building blocks. This architecture can be generally applied to other sensor systems, where communication efficiency is a paramount concern and networking resources are limited.

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An overview of data aggregation architecture for real-time tracking with sensor networks

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