Advertisement

A Data Acquisition and Processing Scheme Based on Edge Calculation

  • Yanqin Mao
  • JiaYan Mao
  • Zhenyu WuEmail author
  • Subin Shen
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)

Abstract

In order to reduce network load and network latency of centralized server in smart home system, optimization method of data acquisition and application framework based on environment intelligence are proposed. Data acquisition and processing scheme based on edge calculation is designed and implemented. Empirical results show that optimizing the data acquisition and application framework will help improve the efficiency of data acquisition. Data acquisition and processing scheme based on edge calculation can effectively reduce network communications.

Keywords

Smart home Data acquisition Edge calculation ZigBee 

Notes

Acknowledgement

This study is supported by National Natural Science Foundation of China (61502246) and Innovative Research Joint Funding Project of Jiangsu Province (BY2013095-108).

References

  1. 1.
    Alam, M.R., Reaz, M.B.I., Ali, M.A.M.: A review of smart homes-past, present, and future. IEEE Trans. Syst. Man Cybern. Part C 42(6), 1190–1203 (2012)CrossRefGoogle Scholar
  2. 2.
    Piyare, R., Tazil, M.: Bluetooth based home automation system using cell phone. In: International Symposium on Consumer Electronics, pp. 192–195. IEEE, New York (2011)Google Scholar
  3. 3.
    Byun, J., Jeon, B., Noh, J., Kim, Y., Park, S.: An intelligent self-adjusting sensor for smart home services based on ZigBee communications. IEEE Trans. Consum. Electron. 58(3), 794–802 (2012)CrossRefGoogle Scholar
  4. 4.
    Liu, W., Yan, Y.: Application of ZigBee wireless sensor network in smart home system. Int. J. Adv. Comput. Technol. 3(5), 154–160 (2011)Google Scholar
  5. 5.
    Lee, J.S., Su, Y.W., Shen, C.C.: A comparative study of wireless protocols: Bluetooth, UWB, ZigBee, and Wi-Fi. In: Conference of the IEEE Industrial Electronics Society, pp. 46–51. IEEE, New York (2008)Google Scholar
  6. 6.
    Chandane, M.M., Bhirud, G.S., Bonde, V.S.: Performance analysis of IEEE 802.15.4. Int. J. Comput. Appl.40(5), 23–29 (2012)Google Scholar
  7. 7.
    Banerjee, A., Sufyanf, F., Nayel, M. S., Sagar, S.: Centralized framework for controlling heterogeneous appliances in a smart home environment. In: 2018 International Conference on Information and Computer Technologies, pp. 78–82. IEEE (2018)Google Scholar
  8. 8.
    Acampora, G., Cook, D.J., Rashidi, P.: A survey on ambient intelligence in healthcare. Proc. IEEE Inst. Electr. Electron. Eng. 101(12), 2470 (2013)CrossRefGoogle Scholar
  9. 9.
    Che-Bin, F., Hang-See, O.: A review on smart home based on ambient intelligence, contextual awareness and Internet of Things (IoT) in constructing thermally comfortable and energy aware house. Res. J. Appl. Sci. Eng. Technol. 12(7), 764–781 (2016)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Nanjing University of Posts and TelecommunicationsNanjingChina

Personalised recommendations