Advertisement

A Web-Service to Monitor a Wireless Sensor Network

  • Rayanne M. C. SilveiraEmail author
  • Francisco P. R. S. Alves
  • Allyx Fontaine
  • Ewaldo E. C. Santana
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11512)

Abstract

In recent years, the interest in the Internet of Things has been growing, and WSN is a promising technology that could be applied in many situations. Regardless of the nature of the application, WSNs are often used for data acquisition, to obtain information from an environment of interest, so it is essential to consider how this data will be made available to users. Over the last years, an increasing number of web services have been used to deal with databases and final users, providing familiar interfaces and multi-platform access to those data. To address this problem, our study proposes a web application based on MVC architecture to monitor, organize and manage devices and data in a wireless sensor network. Here, is presented a functional evaluation of the proposed system and a discussion regarding the test results.

References

  1. 1.
    Faludi, R.: Building Wireless Sensor Networks: with ZigBee, XBee, Arduino, and Processing. O’Reilly Media Inc., Newton (2010)Google Scholar
  2. 2.
    Wheeler, A.: Commercial applications of wireless sensor networks using ZigBee. IEEE Commun. Mag. 45(4), 70–77 (2007)CrossRefGoogle Scholar
  3. 3.
    Gai, K., Qiu, M.: Reinforcement learning-based content-centric services in mobile sensing. IEEE Netw. 32(4), 34–39 (2018)CrossRefGoogle Scholar
  4. 4.
    Huuskonen, J., Oksanen, T.: Soil sampling with drones and augmented reality in precision agriculture. Comput. Electron. Agric. 154, 25–35 (2018)CrossRefGoogle Scholar
  5. 5.
    Colezea, M., Musat, G., Pop, F., Negru, C., Dumitrascu, A., Mocanu, M.: Cluefarm: integrated web-service platform for smart farms. Comput. Electron. Agric. 154, 134–154 (2018)CrossRefGoogle Scholar
  6. 6.
    Gai, K., Qiu, M., Zhao, H.: Energy-aware task assignment for mobile cyber-enabled applications in heterogeneous cloud computing. J. Parallel Distrib. Comput. 111, 126–135 (2018)CrossRefGoogle Scholar
  7. 7.
    Xu, L., O’Hare, G.M., Collier, R.: A balanced energy-efficient multihop clustering scheme for wireless sensor networks. In: 2014 7th IFIP Wireless and Mobile Networking Conference (WMNC), pp. 1–8. IEEE (2014)Google Scholar
  8. 8.
    Rault, T., Bouabdallah, A., Challal, Y.: Energy efficiency in wireless sensor networks: a top-down survey. Comput. Netw. 67, 104–122 (2014)CrossRefGoogle Scholar
  9. 9.
    Serrouch, A., Mocanu, M., Pop, F.: Soil management services in CLUeFARM. In: 2015 14th International Symposium on Parallel and Distributed Computing (ISPDC), pp. 204–209. IEEE (2015)Google Scholar
  10. 10.
    Silva, M.S.d.: Rede de sensores sem fio de baixo custo para monitoramento ambiental. Master’s thesis, Faculdade de Engenharia Elétrica e Computaçã - FEEC (2013)Google Scholar
  11. 11.
    Musat, G.A., et al.: Advanced services for efficient management of smart farms. J. Parallel Distrib. Comput. 116, 3–17 (2018)CrossRefGoogle Scholar
  12. 12.
    Daagi, M., Ouniy, A., Kessentini, M., Gammoudi, M.M., Bouktif, S.: Web service interface decomposition using formal concept analysis. In: 2017 IEEE International Conference on Web Services (ICWS), pp. 172–179. IEEE (2017)Google Scholar
  13. 13.
    Gracia, J., Bayo, E.: An effective and user-friendly web application for the collaborative analysis of steel joints. Adv. Eng. Softw. 119, 60–67 (2018)CrossRefGoogle Scholar
  14. 14.
    Reynolds, D., Ball, J., Bauer, A., Griffiths, S., Zhou, J.: CropMonitor: a scalable open-source experiment management system for distributed plant phenotyping and IoT-based crop management. bioRxiv (2018)Google Scholar
  15. 15.
    Serrano, D., Stroulia, E., Lau, D., Ng, T.: Linked rest APIs: a middleware for semantic rest API integration. In: 2017 IEEE International Conference on Web Services (ICWS), pp. 138–145. IEEE (2017)Google Scholar
  16. 16.
    Kao, K.C., Chieng, W.H., Jeng, S.L.: Design and development of an IoT-based web application for an intelligent remote SCADA system. In: IOP Conference Series: Materials Science and Engineering, vol. 323, pp. 012025. IOP Publishing (2018)Google Scholar
  17. 17.
    Wadkar, K., Koshti, P., Parab, D., Tamboli, S.: V-Buddy: a learning management system. In: 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 539–541. IEEE (2018)Google Scholar
  18. 18.
    Badurowicz, M.: MVC architectural pattern in mobile web applications. Actual Prob. Econ. 6, 305–309 (2011)Google Scholar
  19. 19.
    Latief, M., Kandowangko, N., Yusuf, R.: Designing web database application for local medicinal plants of Gorontalo using MVC architecture. In: IOP Conference Series: Materials Science and Engineering, vol. 288, p. 012098. IOP Publishing (2018)Google Scholar
  20. 20.
    Sommerville, I., et al.: Software Engineering. Addison-wesley, Boston (2007)zbMATHGoogle Scholar
  21. 21.
    Boonsawat, V., Ekchamanonta, J., Bumrungkhet, K., Kittipiyakul, S.: XBee wireless sensor networks for temperature monitoring. In: the Second Conference on Application Research and Development, ECTI-CARD 2010, Chon Buri, Thailand. Citeseer (2010)Google Scholar
  22. 22.
    Soijoyo, S., Ashari, A.: Analysis of Zigbee data transmission on wireless sensor network topology. Analysis 8(9), 145–151 (2017)Google Scholar
  23. 23.
    Kodali, R.K., Soratkal, S.: MQTT based home automation system using ESP8266. In: 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), pp. 1–5. IEEE (2016)Google Scholar
  24. 24.
    Pilco, H., et al.: Analysis and improvement of the usability of a tele-rehabilitation platform for hip surgery patients. In: Nunes, I.L. (ed.) AHFE 2018. AISC, vol. 781, pp. 197–209. Springer, Cham (2019).  https://doi.org/10.1007/978-3-319-94334-3_21CrossRefGoogle Scholar
  25. 25.
    Nielsen, J., Molich, R.: Heuristic evaluation of user interfaces. In: Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 249–256. ACM (1990)Google Scholar
  26. 26.
    Rosa, A.F., Martins, A.I., Costa, V., Queirós, A., Silva, A., Rocha, N.P.: European Portuguese validation of the post-study system usability questionnaire (PSSUQ). In: 2015 10th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–5. IEEE (2015)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Rayanne M. C. Silveira
    • 1
    Email author
  • Francisco P. R. S. Alves
    • 1
  • Allyx Fontaine
    • 2
  • Ewaldo E. C. Santana
    • 3
  1. 1.Departament of Electrical EngineeringFederal University of MaranhãoMaranhãoBrazil
  2. 2.Université de Guyane, UMR Espace-DevCayenneFrance
  3. 3.Departament of MathematicsState University of MaranhãoMaranhãoBrazil

Personalised recommendations