Abstract
Wireless node deployment is a key problem in wireless sensor network design. It has an important impact on network connectivity. In this paper, Arduino as a development platform, using ZigBee technology, sensors and LabVIEW to build a greenhouse environment monitoring system. This paper proposed a model to minimize the number of mobile nodes under wireless node connectivity constraints, and used genetic algorithm to optimize the distribution of mobile nodes. When the number of system nodes was large, the encoding region contraction mechanism based on dichotomy was proposed to improve the optimization speed of genetic algorithm. The upper computer interface of the system was friendly and easy to operate. The real-time data collected by the system was accurate and the system worked stably and was easy for long-term monitoring.
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Acknowledgements
This work is supported by the Changzhou University higher vocational education research project under grant CDGZ2018047, Teaching reform of higher vocational education of CCIT under grant 2018CXJG10, University philosophy social science research fund project of Jiangsu Province under grant 2017SJB1822.
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Shi, L., Qian, S., Wang, L., Li, Q. (2019). Design of Greenhouse Wireless Monitoring System Based on Genetic Algorithm. In: Pan, JS., Lin, JW., Sui, B., Tseng, SP. (eds) Genetic and Evolutionary Computing. ICGEC 2018. Advances in Intelligent Systems and Computing, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-13-5841-8_17
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DOI: https://doi.org/10.1007/978-981-13-5841-8_17
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