Proposal of a LoRaWAN-based IoT System for Food Waste Management
Keywords:LoRaWAN; IoT; Waste Management System; Compost; Sensor
Waste management is one of the main concerns with our environment which impacts the health of our society. A significant amount of waste disposed by people are organic material. Kitchen wastes like food scraps disposed by families and restaurants, are becoming in large amounts and the natural capacity of the environment cannot assimilate them. Therefore, construction of waste management systems is needed. Internet of Things (IoT) and technological development can be used for different solutions in waste management. In this paper, we have proposed a low cost food waste management system, capable to convert food wastes to compost. To make the management system, safe, efficient, and less time consuming, we propose to use a LoRaWAN-based IoT approach.
 Valeri A. and Musalimov, V. MATLAB-based Graphic User Interface for Monitoring and Control of Wireless Sensor Networks. International Journal of Innovative Technology and Interdisciplinary Sciences, 2019; 2(2); 181-191.
 Minh V. T. and Khanna R. Application of Artificial Intelligence in Smart Kitchen. International Journal of Innovative Technology and Interdisciplinary Sciences, 2018; 1(1); 1-8.
 Tamre M., Hudjakov R., Shvarts D., Polder A., Hiiemaa M. and Juurma, M. Implementation of Integrated Wireless Network and MATLAB System to Control Autonomous Mobile Robot. International Journal of Innovative Technology and Interdisciplinary Sciences, 2018; 1(1); 18-25.
 Hong I., Park S., Lee B., Lee. J., Jeong D. and Park. S. IoT-Based Smart Garbage System for Efficient Food Waste Management. The Scientific World Journal, 2014; 2014; 01-13.
 Matsuo K., Umezaki K., Spaho E., Barolli L., Iwashige J., Takizawa M., Experimental Evaluation of a Waste Management Robot System, in Sixth International Conference on Complex, Intelligent, and Software Intensive Systems , Palermo 2012, p. 28-33.
 Composting at home, EPA United States Environmental Protection Agency, Link: https://www.epa.gov/recycle/composting-home Accessed on July 2020.
 Miller F. C. Composting as a process based on the control of ecologically selective factors. In: Soil microbial ecology. Metting, F. B. J. (Eds). Marcel Dekker. p. 515-544, 1993.
 Raza U., Kulkarni P. and Sooriyabandara M. Low Power Wide Area Networks: An Overview. IEEE Communications Surveys & Tutorials, 2017; 19(2); 855-873.
 Bertolaud A., Delclef J., Delport V., Duffy P., Dyduch F., Eirich T., Ferreira L., Gharout S., Hersent O., Kasttet A. LoRaWAN 1.1 Specification; Technical Report 1.1; LoRa Alliance: San Antonio, TX, USA, 2017.
 The Things Network – Getting Started, [online]
Link: https://www.thethingsnetwork.org/getting-started, Accessed on July 2020.
 Radio Mobile Freeware, Available online: http://www.ve2dbe.com/english1.html Accessed on July 2020.
 Spaho E., Sula A., Matsue K., Barolli L., Xhafa F., Iwashige J., An Integrated System of Robot, SmartBox and RFID as an Approach for Internet of Things, in 8th International Conference on Broadband and Wireless Computing, Communication and Applications, Compegnie 2013, p. 589-594.
 Elmazi D., Spaho E., Matsue K., Oda T., Ikeda M., Barolli L. F3N: An Intelligent Fuzzy-Based Cluster Head Selection System for WSNs and Its Performance Evaluation. International Journal of Distributed Systems and Technologies, 2015; 6(2); 28-44.
 Cuka M., Elmazi D., Bylykbashi K., Spaho E., Ikeda M., Barolli L. Effect of node centrality for IoT device selection in opportunistic networks: A comparison study. Concurr. Comput. Pract. Exp., 2018; 30(21); 01-13.