Method for Modeling and Simulation of Parallel Data Integration Processes in Wireless Sensor Networks

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Abstract

The parallel sensor data integration local processing in Wireless Sensor Networks (WSNs) is one of the possible solutions to reduce the neighbor sensor node’s communication and to save energy. At the same time, the process of local sensor node integration needs an additional processor and energy resources. Therefore the development of a realistic and reliable model of data integration processes in WSNs is critical in many aspects. The proposed GN based method and the related modeling process covers most of the aspects of the parallel sensor data integration in the WSN’s, based on 802.15.4 protocols. For simulation and analysis tool is used the WSNet simulator and some additional software libraries. The article presents a new method for modeling and simulation of sensor data integration parallel processing in WSNs. The proposed method uses modeling based on the Generalized Nets (GN) approach which is a new and an advanced way of parallel data processing analysis of Wireless Sensor Systems (WSS).

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Alexandrov, A., Andreev, R., Batchvarov, D., Boneva, A., Ilchev, L., Ivanov, S., & Doshev, J. (2019). Method for Modeling and Simulation of Parallel Data Integration Processes in Wireless Sensor Networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11529 LNAI, pp. 291–301). Springer Verlag. https://doi.org/10.1007/978-3-030-27629-4_27

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