On event signal reconstruction in wireless sensor networks

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Abstract

In Wireless Sensor Networks (WSN), the effective detection and reconstruction of the event signal is mainly based on the regulation of sampling and communication parameters used by the sensor nodes. The aim of this paper is to understand the effect of these parameters on the reconstruction performance of event signal in WSN. Theoretical analysis and results show that with proper selection of sampling and communication parameters, the event signal can be satisfactorily reconstructed at the sink. Furthermore, this study also reveals that the non-uniform and irregular sampling of the event signal outperform the uniform sampling in terms of the reconstruction performance while providing significant energy conservation. Moreover, it is also shown that node density is closely related with the quality. © IFIP International Federation for Information Processing 2007.

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APA

Atakan, B., & Akan, Ö. B. (2007). On event signal reconstruction in wireless sensor networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4479 LNCS, pp. 558–569). Springer Verlag. https://doi.org/10.1007/978-3-540-72606-7_48

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