Sistema de Seleção Multicritério de Tecnologia de Conexão da Fazenda Inteligente
Abstract
Choosing an efficient communication technology among the many options available for a farm is a complex task. Technical and non-technical criteria, as objective and subjective criteria, must be considered. Thus, decisions are multi-criteria. In this work, we build a decision system using the analytical method of decision AHP (Analytical Hierarchy Process) to support the choice of technology to deploy in a Smart Farm. We applied the technique to a long-range scenario to connect the central office to different farm regions. We analyzed six connectivity options from the perspective of eleven criteria. Additionally, we evaluate the result according to the priority given to cost.References
Ding, J., Nemati, M., Ranaweera, C., and Choi, J. (2020). Iot connectivity technologies and applications: A survey. IEEE Access, 8:67646–67673.
Hwang, J. and Yoe, H. (2011). Study on the context-aware middleware for ubiquitous greenhouses using wireless sensor networks. Sensors, 11.
Kondratenko, Y., Kondratenko, G., and Sidenko, I. (2018). Multi-criteria decision making for selecting a rational iot platform. In 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT), pages 147–152.
Li, Y., Jha, D. N., Aujla, G. S., Morgan, G., Zomaya, A. Y., and Ranjan, R. (2020). Iotwc: Analytic hierarchy process based internet of things workflow composition system. In 2020 IEEE International Conference on Cloud Engineering (IC2E), pages 1–10.
Liang Zhou, Sheng-Ming Jiang, T. Y. (2021). A network selection scheme based on the analytic hierarchy process for marine internet. volume 2021, page 8.
Lin, L. (2019). Cost structure of iot connectivity services.
Ly, P. T. M., Lai, W.-H., Hsu, C.-W., and Shih, F.-Y. (2018). Fuzzy ahp analysis of internet of things (iot) in enterprises. Technological Forecasting and Social Change, 136:1–13.
Martinez, M. A. Q., González, G. A. L., Rios, M. D. G., and Vazquez, M. Y. L. (2020). Selection of lpwan technology for the adoption and efficient use of the iot in the rural areas of the province of guayas using ahp method. In International Conference on Applied Human Factors and Ergonomics, pages 497–503. Springer.
Mekki, K., Bajic, E., Chaxel, F., and Meyer, F. (2019). A comparative study of lpwan technologies for large-scale iot deployment. ICT Express, 5(1):1–7.
Ministério da Agricultura, P. e. A. (2021). Cenários e perspecitvas da conectividade para o agro. pages 1–74.
Mishra, A. (2017). Analytic hierarchy process solver. https://pyahp.gitbook.io/pyahp/. Accessed: 2021-02-19.
O., S., L., R., A., B., and G., M. (2021). 5g energy efficiency overview. European Scientific Journal, ESJ, 17(3).
Ray, B. (2017). Costs in iot: Lte-m vs. nb-iot vs. sigfox vs. lora. [Online; accessed: 2021-02-19].
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1):83–98.
Saaty, T. L. and Vargas, L. G. (2012). Models, Methods, Concepts & Applications of the Analytic Hierarchy Process, volume 175. Springer New York, NY. ISBN 0-84937375-1.
Silva, E. M., Agostinho, C., and Jardim-Goncalves, R. (2017). A multi-criteria decision model for the selection of a more suitable internet-of-things device. In 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), pages 1268–1276.
Singla, C., Mahajan, N., Kaushal, S., Verma, A., and Sangaiah, A. K. (2018). Modelling and analysis of multi-objective service selection scheme in iot-cloud environment. In Cognitive computing for big data systems over IoT, pages 63–77. Springer.
Uslu, B., Eren, T., Gur, S., and Ozcan, E. (2019). Evaluation of the difficulties in the internet of things (iot) with multi-criteria decision-making. Processes, 7(3).
Vannieuwenborg, F., Verbrugge, S., and Colle, D. (2018). Choosing iot-connectivity? a guiding methodology based on functional characteristics and economic considerations. Transactions on Emerging Telecommunications Technologies, 29(5):e3308. e3308 ETT-17-0322.R1.
VK, Q., NV, H., DV, A., NM, Q., NT, B., S, L., G, R., and A., M. (2022). Iot-enabled smart agriculture: Architecture, applications, and challenges. Applied Sciences, 12.
Wang, J., Yeh, W., Xiong, N. N., Wang, J., He, X., and Huang, C. (2019). Building an improved internet of things smart sensor network based on a three-phase methodology. IEEE Access, 7:141728–141737.
Hwang, J. and Yoe, H. (2011). Study on the context-aware middleware for ubiquitous greenhouses using wireless sensor networks. Sensors, 11.
Kondratenko, Y., Kondratenko, G., and Sidenko, I. (2018). Multi-criteria decision making for selecting a rational iot platform. In 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT), pages 147–152.
Li, Y., Jha, D. N., Aujla, G. S., Morgan, G., Zomaya, A. Y., and Ranjan, R. (2020). Iotwc: Analytic hierarchy process based internet of things workflow composition system. In 2020 IEEE International Conference on Cloud Engineering (IC2E), pages 1–10.
Liang Zhou, Sheng-Ming Jiang, T. Y. (2021). A network selection scheme based on the analytic hierarchy process for marine internet. volume 2021, page 8.
Lin, L. (2019). Cost structure of iot connectivity services.
Ly, P. T. M., Lai, W.-H., Hsu, C.-W., and Shih, F.-Y. (2018). Fuzzy ahp analysis of internet of things (iot) in enterprises. Technological Forecasting and Social Change, 136:1–13.
Martinez, M. A. Q., González, G. A. L., Rios, M. D. G., and Vazquez, M. Y. L. (2020). Selection of lpwan technology for the adoption and efficient use of the iot in the rural areas of the province of guayas using ahp method. In International Conference on Applied Human Factors and Ergonomics, pages 497–503. Springer.
Mekki, K., Bajic, E., Chaxel, F., and Meyer, F. (2019). A comparative study of lpwan technologies for large-scale iot deployment. ICT Express, 5(1):1–7.
Ministério da Agricultura, P. e. A. (2021). Cenários e perspecitvas da conectividade para o agro. pages 1–74.
Mishra, A. (2017). Analytic hierarchy process solver. https://pyahp.gitbook.io/pyahp/. Accessed: 2021-02-19.
O., S., L., R., A., B., and G., M. (2021). 5g energy efficiency overview. European Scientific Journal, ESJ, 17(3).
Ray, B. (2017). Costs in iot: Lte-m vs. nb-iot vs. sigfox vs. lora. [Online; accessed: 2021-02-19].
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1):83–98.
Saaty, T. L. and Vargas, L. G. (2012). Models, Methods, Concepts & Applications of the Analytic Hierarchy Process, volume 175. Springer New York, NY. ISBN 0-84937375-1.
Silva, E. M., Agostinho, C., and Jardim-Goncalves, R. (2017). A multi-criteria decision model for the selection of a more suitable internet-of-things device. In 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), pages 1268–1276.
Singla, C., Mahajan, N., Kaushal, S., Verma, A., and Sangaiah, A. K. (2018). Modelling and analysis of multi-objective service selection scheme in iot-cloud environment. In Cognitive computing for big data systems over IoT, pages 63–77. Springer.
Uslu, B., Eren, T., Gur, S., and Ozcan, E. (2019). Evaluation of the difficulties in the internet of things (iot) with multi-criteria decision-making. Processes, 7(3).
Vannieuwenborg, F., Verbrugge, S., and Colle, D. (2018). Choosing iot-connectivity? a guiding methodology based on functional characteristics and economic considerations. Transactions on Emerging Telecommunications Technologies, 29(5):e3308. e3308 ETT-17-0322.R1.
VK, Q., NV, H., DV, A., NM, Q., NT, B., S, L., G, R., and A., M. (2022). Iot-enabled smart agriculture: Architecture, applications, and challenges. Applied Sciences, 12.
Wang, J., Yeh, W., Xiong, N. N., Wang, J., He, X., and Huang, C. (2019). Building an improved internet of things smart sensor network based on a three-phase methodology. IEEE Access, 7:141728–141737.
Published
2023-08-06
How to Cite
COLARES, Hugo Terceiro; CÉSAR, Cecilia de Azevedo Castro.
Sistema de Seleção Multicritério de Tecnologia de Conexão da Fazenda Inteligente. In: WORKSHOP ON COMPUTING APPLIED TO THE MANAGEMENT OF THE ENVIRONMENT AND NATURAL RESOURCES (WCAMA), 14. , 2023, João Pessoa/PB.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 101-110.
ISSN 2595-6124.
DOI: https://doi.org/10.5753/wcama.2023.230932.
