Abstract
As the ‘Industry 4.0’ has been proposed, the Internet of Things (IoT) has been widely used in more and more fields, and the higher demand for data acquisition efficiency. Unfortunately, the format, type, and access methods of data sources in different areas are diverse, making low efficiency of data acquisition. To address this issue, based on the data acquisition middleware of IoT (DAQ-Middleware), a novel High-speed Data Acquisition Algorithm of IoT (HDAA) is proposed. The algorithm includes parallel data acquisition algorithm and acquisition efficiency optimization heuristic method. According to the characteristics of different data sources and data interfaces, the mapping relationship is established between data sources and data interfaces, which improves the data acquisition efficiency of IoT. In the practical application and simulation environment, the data acquisition efficiency of HDAA is analyzed and compared with other algorithms. The results show that HDAA greatly improves the efficiency of data acquisition. In particular, the advantage of the algorithm is more obvious in the case of more data sources and less data interfaces.
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References
Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Futur. Gener. Comput. Syst. 29(7), 1645–1660 (2013)
Peng, M., Li, Y., Zhao, Z., Wang, C.: System architecture and key technologies for 5G heterogeneous cloud radio access networks. IEEE Netw. 29(2), 6–14 (2015)
Riedel, T., Fantana, N., Genaid, A., Yordanov, D., Schmidtke, H.R., Beigl, M.: Using web service gateways and code generation for sustainable IoT system development. In: 2010 Internet of Things (IOT), Tokyo, pp. 1–8. IEEE (2010)
Ning, H., Wang, Z.: Future internet of things architecture: like mankind neural system or social organization framework? IEEE Commun. Lett. 15(4), 461–463 (2011)
Qiu, Z., Hu, T., Qi, S., Liu, S., Wang, X., Guo, Z.: Automatic matching method for ocean observation elements based on edge computing. In: International Conference on Big Data Computing and Communications, pp. 174–180, Chicago. IEEE (2018). https://doi.org/10.1109/BIGCOM.2018.00035
Gigli, M., Koo, S.G.: Internet of Things: services and applications categorization. Internet Things 1(2), 27–31 (2011)
Qiu, Z., et al.: IoTI: internet of things instruments reconstruction model design. In: Instrumentation and Measurement Technology Conference Proceedings (I2MTC), Taiwan, pp. 1–6. IEEE (2016). https://doi.org/10.1109/I2MTC.2016.7520533
Kelly, S.D.T., Suryadevara, N.K., Mukhopadhyay, S.C.: Towards the implementation of IoT for environmental condition monitoring in homes. IEEE Sens. J. 13(10), 3846–3853 (2013)
Qiu, Z., Hu, N., Guo, Z., Qiu, L., Guo, S., Wang, X.: IoT sensing parameters adaptive matching algorithm. In: Wang, Y., Yu, G., Zhang, Y., Han, Z., Wang, G. (eds.) BigCom 2016. LNCS, vol. 9784, pp. 198–211. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42553-5_17
Kovac, V.S.K.: Virtual instrumentation and distributed measurement systems. J. Electr. Eng 55(1–2), 50–56 (2004)
Qiu, Z., Guo, Z., Liu, C.: Adaptive high-speed data acquisition algorithm in sensor network nodes. J. Southeast Univ. Nat. Sci. Ed. 42(A02), 238–244 (2012)
Qiu, Z., Guo, Z., Wang, Y., Hu, T., Liu, C., Li, T.: Reconstruction model of ocean observing complex virtual instrument. J. Ocean. Univ. China 17(5), 1159–1170 (2018). https://doi.org/10.1007/s11802-018-3445-6
Toma, D.M., et al.: Smart sensors for interoperable smart ocean environment. In: OCEANS 2011 IEEE, Spain, pp. 1–4. IEEE (2011)
Chen, Z., Huang, Y., Tang, C., Qu, L.: Estimation of transmission delay of time synchronization information for Internet of things of coal mine underground. Ind. Mine Autom. 40(12), 37–41 (2014)
Acknowledgment
The study is supported by the National Natural Science Foundation of China (Nos. 41606112 and 41705046) and Key Research and Development Program of Shandong Province (No. 2016JMRH0538).
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Qiu, Z., Qi, S., Zhou, Z., Hu, T., Zou, J., Wang, D. (2019). HDAA: High-Speed Data Acquisition Algorithm of IoT. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2018. Communications in Computer and Information Science, vol 1006. Springer, Singapore. https://doi.org/10.1007/978-981-13-7986-4_43
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DOI: https://doi.org/10.1007/978-981-13-7986-4_43
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