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Spatial Correlation Code Based Data Aggregation Scheme for Maximizing Network Lifetime

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 4658)

Abstract

A wireless sensor network consists of many micro-sensor nodes distributed throughout an area of interest. Each node has a limited energy supply and generates information that needs to be communicated to a sink node. The basic operation in such a network is the systematic gathering and transmission of sensed data to a base station for further processing. During data gathering, sensors have the ability to perform in-network aggregation (fusion) of data packet routes to the base station. The lifetime of such a sensor system can be defined as the time during which the sensor information is gathered from all of the sensors and combined at the base station. Given the location of the sensors, the base station and the available energy at each sensor, the main interest is to find an efficient manner in which data can be collected from the sensors and transmitted to the base station at a given rate, so as to maximize the system lifetime. A zone based data aggregation scheduling scheme is presented to accomplish this. The experimental results demonstrate that the proposed protocol significantly outperforms other methods in terms of the energy saving and system lifetime.

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This research was Supported by a Korea University Grant.

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Tomoya Enokido Leonard Barolli Makoto Takizawa

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© 2007 Springer-Verlag Berlin Heidelberg

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Lee, S., Jung, Y., Park, W., An, S. (2007). Spatial Correlation Code Based Data Aggregation Scheme for Maximizing Network Lifetime. In: Enokido, T., Barolli, L., Takizawa, M. (eds) Network-Based Information Systems. NBiS 2007. Lecture Notes in Computer Science, vol 4658. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74573-0_47

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  • DOI: https://doi.org/10.1007/978-3-540-74573-0_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74572-3

  • Online ISBN: 978-3-540-74573-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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