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An IoT-based bin level monitoring system for solid waste management

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Journal of Material Cycles and Waste Management Aims and scope Submit manuscript

Abstract

Improper disposal of solid waste that impacts human health and pollutes the environment, arising a need for successful and necessary collection of waste materials. However, most trash bins placed in cities can be seen overflowing due to traditional or inefficient waste management approaches. Therefore, a real-time remote monitoring system is needed to alert the level of garbage in bins to the relevant authority for immediate waste clearance. This paper presents the development and validation of a self-powered, simple connect, IoT solution to monitor the unfilled level of trash bins from a central monitoring station. The end sensor nodes of the developed IoT system are called Bin Level Monitoring Unit (BLMU) which are installed in every trash bin where the unfilled level needs to be monitored. Every BLMU measures the unfilled level of the trash bins and transmits it to a wireless access point unit (WAPU). Each WAPU receives the unfilled level data from several BLMUs and uploads it to the central server for storage and analysis. The waste collection authority can view and analyze the unfilled level of each bin using a smart graphical user interface. The following important experiments were carried out to validate the developed system: (1) the developed bin level monitoring system was tested by filling a trash bin with solid waste at various levels, and the corresponding unfilled level of the trash bin was monitored using the smart graphical user interface. (2) The life expectancy of the BLMU was evaluated as approximately 434 days. (3) The maximum transmission distance between a BLMU and a WAPU is 119 m. (4) The cost of a developed trash bin is 107 USD. Based on the results achieved, the developed trash bins can be suitable for smart cities.

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References

  1. Anagnostopoulos T, Zaslavsky A, Kolomvatsos K, Medvedev A, Amirian P, Morley J, Hadjieftymiades S (2017) Challenges and opportunities of waste management in IoT-enabled smart cities: a survey. IEEE Trans Sustain Comput 2(3):275–289

    Article  Google Scholar 

  2. Mouftah HT, Erol-Kantarci M, Rehmani MH (eds) (2018) Transportation and power grid in smart cities: communication networks and services. Wiley, Chichester

    Google Scholar 

  3. Anagnostopoulos T, Ntalianis K, Skourlas C, Ramson SJ (2018) IoT-enabled fall verification of elderly and impaired people in Smart Cities. In: proceedings of the 22nd Pan-Hellenic conference on informatics, pp 88–92

  4. Rehmani MH, Rachedi A, Erol-Kantarci M, Radenkovic M, Reisslein M (2016) Cognitive radio based smart grid: the future of the traditional electrical grid. Ad Hoc Netw 100(41):1–4

    Article  Google Scholar 

  5. Vishnu S, Ramson SJ, Jegan R (2020) Internet of medical things (IoMT)-An overview. In: 2020 5th international conference on devices, circuits and systems (ICDCS), pp 101–104, IEEE.

  6. Periathamby A, Hamid FS, Khidzir K (2009) Evolution of solid waste management in Malaysia: impacts and implications of the solid waste bill, 2007. J Mater Cycles Waste Manage 11(2):96–103

    Article  Google Scholar 

  7. Khan D, Kumar A, Samadder SR (2016) Impact of socioeconomic status on municipal solid waste generation rate. Waste Manage 49:15–25

    Article  Google Scholar 

  8. Idris A, Inanc B, Hassan MN (2004) Overview of waste disposal and landfills/dumps in Asian countries. J Mater Cycles Waste Manage 6(2):104–110

    Article  Google Scholar 

  9. Hannan MA, Arebey M, Begum RA, Basri H (2011) Radio Frequency Identification (RFID) and communication technologies for solid waste bin and truck monitoring system. Waste Manage 31(12):2406–2413

    Article  Google Scholar 

  10. Arebey M, Hannan MA, Begum RA, Basri H (2011) CBIR for an automated solid waste bin level detection system using GLCM. In: international visual informatics conference, pp 280–288. Springer, Berlin.

  11. Hannan MA, Arebey M, Begum RA, Basri H (2012) An automated solid waste bin level detection system using a gray level aura matrix. Waste Manage 32(12):2229–2238

    Article  Google Scholar 

  12. Hannan MA, Arebey M, Begum RA, Mustafa A, Basri H (2013) An automated solid waste bin level detection system using Gabor wavelet filters and multi-layer perception. Resour Conserv Recycl 72:33–42

    Article  Google Scholar 

  13. Islam MS, Hannan MA, Basri H, Hussain A, Arebey M (2014) Solid waste bin detection and classification using Dynamic Time Warping and MLP classifier. Waste Manage 34(2):281–290

    Article  Google Scholar 

  14. Chowdhury B, Chowdhury MU (2007) RFID-based real-time smart waste management system. In: 2007 Australasian telecommunication networks and applications conference, pp. 175–180. IEEE.

  15. Ramson SR, Moni DJ (2016) A case study on different wireless networking technologies for remote health care. Intell Decis Technol 10(4):353–364

    Article  Google Scholar 

  16. Ramson SJ, Vishnu S, Shanmugam M (2020) Applications of internet of things (IoT)–An Overview. In: 2020 5th international conference on devices, circuits and systems (ICDCS), pp 92–95. IEEE.

  17. Morello R, De Capua C, Fulco G, Mukhopadhyay SC (2017) A smart power meter to monitor energy flow in smart grids: the role of advanced sensing and IoT in the electric grid of the future. IEEE Sens J 17(23):7828–7837

    Article  Google Scholar 

  18. Dhingra S, Madda RB, Gandomi AH, Patan R, Daneshmand M (2019) Internet of Things mobile–air pollution monitoring system (IoT-Mobair). IEEE Internet Things J 6(3):5577–5584

    Article  Google Scholar 

  19. Mukherjee M, Shu L, Hu L, Hancke GP, Zhu C (2017) Sleep scheduling in industrial wireless sensor networks for toxic gas monitoring. IEEE Wirel Commun 24(4):106–112

    Article  Google Scholar 

  20. Zhang F, Liu M, Zhou Z, Shen W (2016) An IoT-based online monitoring system for continuous steel casting. IEEE Internet Things J 3(6):1355–1363

    Article  Google Scholar 

  21. Al-Turjman F, Alturjman S (2018) Context-sensitive access in industrial internet of things (IIoT) healthcare applications. IEEE Trans Industr Inf 14(6):2736–2744

    Article  Google Scholar 

  22. Rashid B, Rehmani MH (2016) Applications of wireless sensor networks for urban areas: a survey. J Netw Comput Appl 60:192–219

    Article  Google Scholar 

  23. Ramson SJ, Moni DJ (2017) Applications of wireless sensor networks—a survey. In: 2017 international conference on innovations in electrical, electronics, instrumentation and media technology (ICEEIMT), pp 325–329. IEEE.

  24. Al Mamun MA, Hannan MA, Hussain A, Basri H (2014) Integrated sensing systems and algorithms for solid waste bin state management automation. IEEE Sens J 15(1):561–567

    Article  Google Scholar 

  25. Longhi S, Marzioni D, Alidori E, Di Buo G, Prist M, Grisostomi M, Pirro M (2012) Solid waste management architecture using wireless sensor network technology. In: 2012 5th international conference on new technologies, mobility and security (NTMS), pp 1–5. IEEE.

  26. Ramson SJ, Moni DJ (2017) Wireless sensor networks based smart bin. Comput Electr Eng 64:337–353

    Article  Google Scholar 

  27. Jino Ramson SR, Jackuline Moni D, Alfred Kirubaraj A, Senith S (2017) Self-powered wireless sensor network framework to monitor bin level. J Solid Waste Technol Manage 43(4):295–304

    Article  Google Scholar 

  28. Lozano Á, Caridad J, De Paz JF, Villarrubia Gonzalez G, Bajo J (2018) Smart waste collection system with low consumption LoRaWAN nodes and route optimization. Sensors 18(5):1465

    Article  Google Scholar 

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Correspondence to S. R. Jino Ramson.

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Ramson, S.R.J., Moni, D.J., Vishnu, S. et al. An IoT-based bin level monitoring system for solid waste management. J Mater Cycles Waste Manag 23, 516–525 (2021). https://doi.org/10.1007/s10163-020-01137-9

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  • DOI: https://doi.org/10.1007/s10163-020-01137-9

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