Abstract
The Generalized Nets (GN) approach is an advanced way of parallel processes modeling and analysis of complex systems as Large-scale Wireless Sensor Networks (LWSN). The LWSN such as meteorological and air quality monitoring systems could generate a large amount of data that can reach petabytes per year. The sensor data-parallel processing is one of the possible solutions to reduce inter-node communication to save energy. At the same time, the on-site parallel processing requires additional energy, needed for computational data processing. Therefore, the development of a realistic model of the process is critical for the optimization analysis of every large scale sensor network.
In the proposed paper, a new developed GN based model of a sensor nodes data-parallel processing of LWSN with cluster topology is presented. The proposed model covers all the aspects of the inter-node sensor data integration and the cluster-based parallel processes specific for large scale amounts of sensor data operations.
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Alexandrov, A., Monov, V., Tashev, T. (2020). Generalized Nets Model of Data Parallel Processing in Large Scale Wireless Sensor Networks. In: Lirkov, I., Margenov, S. (eds) Large-Scale Scientific Computing. LSSC 2019. Lecture Notes in Computer Science(), vol 11958. Springer, Cham. https://doi.org/10.1007/978-3-030-41032-2_54
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DOI: https://doi.org/10.1007/978-3-030-41032-2_54
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