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Proceedings Paper

The data aggregation middleware for spatiotemporal redundancy information reduction in sensor web based on lift scheme
Author(s): Tao Sun; Deshi Li; Zhigao Yang; Xiangguo Yang
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Paper Abstract

Data aggregation is a fatal for wireless routing in sensor networks, which combine data coming from different sources and routes, eliminates redundancy, minimizes the number of transmissions, and saves energy. We propose an in-cluster CISP (Collaborative Information and Signal Processing) method aim at dealing with spatiotemporal redundancy issue of irregular sample. This tradeoff of computation and communication energy consume for sensor network. As for stochastic deployment and dynamic topology of WSN, a distributed algorithm of Lift Scheme for de-correlation and multi-scale data aggregation approach is put forward. Then one middleware is implemented basing on it, which is proved valid with experiment for redundancy information reduction. This ubiquitous local algorithm not only decrease sharply the communication cost when transmitting information to cluster head with approximate information reserved, but also deals with the fundamental issue of spatiotemporal irregular samples.

Paper Details

Date Published: 28 October 2006
PDF: 7 pages
Proc. SPIE 6421, Geoinformatics 2006: Geospatial Information Technology, 64210L (28 October 2006); doi: 10.1117/12.712689
Show Author Affiliations
Tao Sun, Wuhan Univ. (China)
Deshi Li, Wuhan Univ. (China)
Zhigao Yang, Wuhan Univ. (China)
Xiangguo Yang, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6421:
Geoinformatics 2006: Geospatial Information Technology
Huayi Wu; Qing Zhu, Editor(s)

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