Energy Efficient IoT-Sensors Network for Smart Farming
Main Article Content
Abstract
The experience of smart farming can be improved using IoT-based applications. Still, the performance of IoT networks may be degraded due to different factors, i.e., the coverage area of the farm/location (surface or underwater)/environmental conditions etc. Network operations over heterogeneous environments may cause excessive resource consumption and thus may reduce the IoT sensor’s lifespan. To optimise energy consumption, in this paper, an energy-efficient method will be introduced for smart farming, and its performance will be analysed using different parameters (i.e., Throughput/energy consumption/residual energy etc.) using two different IoT standards (Long Range Low powered technology (LoRa)/SigFox).
Article Details
References
Chamara, N., Islam, M. D., Bai, G. F., Shi, Y., & Ge, Y. (2022). Ag-IoT for crop and environment monitoring: Past, present, and future. Agricultural Systems, 203, 103497.
Thouti, S., Venu, N., Rinku, D. R., Arora, A., & Rajeswaran, N. (2022). Investigation on identify the multiple issues in IoT devices using Convolutional Neural Network. Measurement: Sensors, 24, 100509.
Yadav, R., Sreedevi, I., & Gupta, D. (2023). Augmentation in performance and security of WSNs for IoT applications using feature selection and classification techniques. Alexandria Engineering Journal, 65, 461-473.
Aboubakar, M., Kellil, M., & Roux, P. (2022). A review of IoT network management: Status and perspectives. Journal of King Saud University-Computer and Information Sciences, 34(7), 4163-4176.
Krishna, K. L., Silver, O., Malende, W. F., & Anuradha, K. (2017, February). Internet of Things application for implementation of smart agriculture system. In 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC) (pp. 54-59). IEEE.
Saadane, R., Chehri, A., & Jeon, S. (2022). AI-based modeling and data-driven evaluation for smart farming-oriented big data architecture using IoT with energy harvesting capabilities. Sustainable Energy Technologies and Assessments, 52, 102093.
Singh, P. K., & Sharma, A. (2022). An intelligent WSN-UAV-based IoT framework for precision agriculture application. Computers and Electrical Engineering, 100, 107912.
Miles, B., Bourennane, E. B., Boucherkha, S., & Chikhi, S. (2020). A study of LoRaWAN protocol performance for IoT applications in smart agriculture. Computer Communications, 164, 148-157.
Boursianis, A. D., Papadopoulou, M. S., Diamantoulakis, P., Liopa-Tsakalidi, A., Barouchas, P., Salahas, G., ... & Goudos, S. K. (2022). A comprehensive review of the Internet of things (IoT) and agricultural unmanned aerial vehicles (UAVs) in smart farming. Internet of Things, 18, 100187.
Gupta, Z., & Bindal, A. (2022, April). Comprehensive Survey on Sustainable Smart Agriculture using IOT Technologies. In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 2640-2645). IEEE.
Vijayaraja, L., Dhanasekar, R., Kesavan, R., Tamizhmalar, D., Premkumar, R., & Saravanan, N. (2022, April). A Cost Effective Agriculture System based on IoT using Sustainable Energy. In 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 546-549). IEEE.
Kaur, L., & Kaur, R. (2021). A survey on energy efficient routing techniques in WSNs focusing IoT applications and enhancing fog computing paradigm. Global Transitions Proceedings, 2(2), 520-529.
Khaoula, T., Abdelouahid, R. A., Ezzahoui, I., & Marzak, A. (2021). Architecture design of monitoring and controlling of IoT-based aquaponics system powered by solar energy. Procedia Computer Science, 191, 493-498.
Ezzahoui, I., Abdelouahid, R. A., Taji, K., & Marzak, A. (2021). Hydroponic and Aquaponic Farming: Comparative Study Based on Internet of things IoT technologies. Procedia Computer Science, 191, 499-504.
Gupta, A., Gulati, T., & Bindal, A. K. (2022, April). WSN based IoT applications: A Review. In 2022 10th International Conference on Emerging Trends in Engineering and Technology-Signal and Information Processing (ICETET-SIP-22) (pp. 1-6). IEEE.
Maroli, A., Narwane, V. S., & Gardas, B. B. (2021). Applications of IoT for achieving sustainability in agricultural sector: A comprehensive review. Journal of Environmental Management, 298, 113488.
Huang, P. Q., Wang, Y., & Wang, K. Z. (2020). Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system. Frontiers of Information Technology & Electronic Engineering, 21(12), 1713-1725.
Xu, J., Gu, B., & Tian, G. (2022). Review of agricultural IoT technology. Artificial Intelligence in Agriculture.
Rejeb, A., Rejeb, K., Abdollahi, A., Al-Turjman, F., & Treiblmaier, H. (2022). The interplay between the internet of things and agriculture: a bibliometric analysis and research agenda. Internet of Things, 100580.
Bhatt, V., & Bindal, A. K. (2021, October). Smart Hardware Development under Industrial IOT (IIOT) 4.0: A Survey Report. In 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) (pp. 262-265). IEEE.
Akhter, R., & Sofi, S. A. (2022). Precision agriculture using IoT data analytics and machine learning. Journal of King Saud University-Computer and Information Sciences, 34(8), 5602-5618.
Mona, Y., Do, T. A., Sekine, C., Suttakul, P., & Chaichana, C. (2022). Geothermal electricity generator using thermoelectric module for IoT monitoring. Energy Reports, 8, 347-352.
Kumar, M. P., & Hariharan, R. (2022). SPEED-UP, and energy-efficient GPSR protocol for WSNs using IOT. Measurement: Sensors, 23, 100411.
Reddy, K. S. S., Manohara, M., Shailaja, K., Revathy, P., Kumar, T. M., & Premalatha, G. (2022). Power management using AI-based IOT systems. Measurement: Sensors, 24, 100551.
Goel, K., & Bindal, A. K. (2018, December). Wireless sensor network in precision agriculture: A survey report. In 2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) (pp. 176-181). IEEE.
Manikandan, D., Skl, A. M., & Sethukarasi, T. (2020). Agro-gain-an absolute agriculture by sensing and data-driven through iot platform. Procedia Computer Science, 172, 534-539.
Khan, A. I., Alsolami, F., Alqurashi, F., Abushark, Y. B., & Sarker, I. H. (2022). Novel energy management scheme in IoT enabled smart irrigation system using optimized intelligence methods—Engineering Applications of Artificial Intelligence, 114, 104996.
Bali, M. S., Gupta, K., Bali, K. K., & Singh, P. K. (2022). Towards energy efficient NB-IoT: A survey on evaluating its suitability for smart applications. Materials Today: Proceedings, 49, 3227-3234.
Sarpal, D., Sinha, R., Jha, M., & Padmini, T. N. (2022). AgriWealth: IoT based farming system. Microprocessors and Microsystems, 89, 104447.
Goel, K., & Bindal, A. K. (2022). Regulated Energy Harvesting Scheme for Self-Sustaining WSN in Precision Agriculture. In Proceedings of Data Analytics and Management: ICDAM 2021, Volume 2 (pp. 367-385). Springer Singapore.
Obaideen, K., Yousef, B. A., AlMallahi, M. N., Tan, Y. C., Mahmoud, M., Jaber, H., & Ramadan, M. (2022). An overview of smart irrigation systems using IoT. Energy Nexus, 100124.
Bouali, E. T., Abid, M. R., Boufounas, E. M., Hamed, T. A., & Benhaddou, D. (2021). Renewable energy integration into cloud & IoT-based smart agriculture. IEEE Access, 10, 1175-1191.
Rodríguez, J. P., Montoya-Munoz, A. I., Rodriguez-Pabon, C., Hoyos, J., & Corrales, J. C. (2021). IoT-Agro: A smart farming system to Colombian coffee farms. Computers and Electronics in Agriculture, 190, 106442.
Piramuthu, S. (2022). IoT, Environmental Sustainability, Agricultural Supply Chains. Procedia Computer Science, 204, 811-816.
Jenzeri, D., & Chehri, A. (2022). Data Analysis for IoT System Using 6LoWPAN and Constrained Application Protocol for Environmental Monitoring. Procedia Computer Science, 207, 1472-1481.
Chiu, M. C., Yan, W. M., Bhat, S. A., & Huang, N. F. (2022). Development of smart aquaculture farm management system using IoT and AI-based surrogate models. Journal of Agriculture and Food Research, 9, 10035.