The data aggregation middleware for spatiotemporal redundancy information reduction in sensor web based on lift scheme

Tao Sun; Deshi Li; Zhigao Yang; Xiangguo Yang

doi:10.1117/12.712689

28 October 2006 The data aggregation middleware for spatiotemporal redundancy information reduction in sensor web based on lift scheme

Tao Sun, Deshi Li, Zhigao Yang, Xiangguo Yang

Author Affiliations +

Proceedings Volume 6421, Geoinformatics 2006: Geospatial Information Technology; 64210L (2006) https://doi.org/10.1117/12.712689
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

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.

Citation Download Citation

Tao Sun, Deshi Li, Zhigao Yang, and Xiangguo Yang "The data aggregation middleware for spatiotemporal redundancy information reduction in sensor web based on lift scheme", Proc. SPIE 6421, Geoinformatics 2006: Geospatial Information Technology, 64210L (28 October 2006); https://doi.org/10.1117/12.712689

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