Architecture Design of Modern Marine IoT Cloud Server Software

  • Ling YuEmail author
  • Yang Gao
  • Chaoyan Man
  • Yu Zhang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 517)


Internet of things in the field of marine fisheries develops very fast. The current fishery servers have the problems of insufficient concurrency capability, low stability, small scalability, and difficulties in maintaining, which cannot meet the requirements of stable data transmission in high concurrency mode. Since most fishing equipment is embedded and has limited computing resources, remote monitoring and control systems for fisheries require that communication modules can be easily integrated into the equipment and occupy a small amount of equipment computing resources. This article introduces the MQTT protocol subscription/publishing features, and designs the cloud server software architecture.


Internet of things Marine fisheries Remote monitoring of fisheries MQTT agreement 


  1. 1.
    Davoli, L., Protskaya, Y., Veltri, L.: An anonymization protocol for the internet of things. In: 2017 International Symposium on Wireless Communication Systems (ISWCS), Beijing (2017)Google Scholar
  2. 2.
    Bertino, E., Islam, N.: Botnets and internet of things security. Computer. 50, 76–79 (2017)CrossRefGoogle Scholar
  3. 3.
    Ng, Irene C.L.Wakenshaw, Susan Y.L et al(2017)The Internet-of-Things: Review and research directions. In: International Journal of Research in Marketing. Vol.34: 3–21CrossRefGoogle Scholar
  4. 4.
    Caputo, A., Marzi, G., Pellegrini, M.M.: The internet of things in manufacturing innovation processes. Bus. Process Manag. J. 22, 383–402 (2016)CrossRefGoogle Scholar
  5. 5.
    Garlock, T.M., Camp, E.V., Lorenzen, K.: Using fisheries modeling to assess candidate species for marine fisheries enhancement. Fish. Res. 186, 460–467 (2017)CrossRefGoogle Scholar
  6. 6.
    Essington, T., Ciannelli, L., Heppell, S., et al.: Empiricism and modeling for marine fisheries: advancing an interdisciplinary science. Ecosystems 20, 237–244 (2017)CrossRefGoogle Scholar
  7. 7.
    Rolim, F.A., Ávila-da-Silva, A.O.: Effects of marine protected areas on fisheries: the case of São Paulo State, Brazil. Latin Am. J. Aquat. Res. 44, 1028–1038 (2016)CrossRefGoogle Scholar
  8. 8.
    Klemas, Victor: Fisheries applications of remote sensing: an overview. Fish. Res. 148, 128–136 (2013)CrossRefGoogle Scholar
  9. 9.
    Watson, G.J., Murray, J.M., Schaefer, M., et al.: Bait worms: a valuable and important fishery with implications for fisheries and conservation management. Fish Fish. 18, 374–388 (2017)CrossRefGoogle Scholar
  10. 10.
    Stephen, C.M., Paul, J.D., Thomas, L.C., et al.: Approaches to fully documented fisheries: practical issues and stakeholder perceptions. Fish Fish. 16, 426–452 (2015)Google Scholar
  11. 11.
    Wood, G., Lynch, T.P., Devine, C., et al.: High-resolution photo-mosaic time-series imagery for monitoring human use of an artificial reef. Ecol. Evol. 6, 6963–6968 (2016)CrossRefGoogle Scholar
  12. 12.
    Chassot, E., Bonhommeau, S., Reygondeau, G., et al.: Satellite remote sensing for an ecosystem approach to fisheries management. ICES J. Mar. Sci. 68, 651–666 (2011)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Network Information CenterDalian Polytechnic UniversityDalianChina
  2. 2.School of Information Science and EngineeringDalian Polytechnic UniversityDalianChina

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