Skip to main content

IOT-Based Whip-Smart Trash Bin Using LoRa WAN

  • Conference paper
  • First Online:
Expert Clouds and Applications (ICOECA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 673))

Included in the following conference series:

Abstract

The ecosystem is contaminated, and human health is impacted by improper solid waste disposal. However, the majority of trash cans put in municipalities may be seen to be overflowing due to antiquated procedures. A real-time wireless closely monitoring device is therefore required to report to the proper authorities of the quantity of waste in containers in order for it to be removed immediately. So this brand-new idea of providing each and every citizen with an RFID card, a computing technology, as well as the concept of rewarding them with points via SMS for proper disposal, is put into action. This study provides an improvement and validation of an IoT self-powered, easily connectable alternative to track the number of empty whip-smart trash bins using a valuable surveillance center. Each trash can that needs to have the unfilled stage monitored can have trash bin monitoring units (BMU). Each BMU measures each garbage can’s level of emptiness and transmits that data to a unit—Wi-Fi access point (WAP). The primary IoT-equipped device is installed in each region to help connect many devices to a bin network. The LoRa devices communicate with each local machine to the controller IoT device, allowing extended communication. As a result, this tactic improves the usefulness of an IoT-based waste disposal management and collection smart city system communities. It simplifies the process of monitoring the trash bin in real-time.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Hannan M, 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 

  2. Wegedie KT (2018) Households solid waste generation and management behavior in case of Bahirdar City, Amhara National Regional State, Ethiopia. Cogent Environ Sci 4(1):1471025

    Article  Google Scholar 

  3. Arebey M, Hannan MA, Basri H, Abdullah H (2009) Solid wastemonitoring and management using RFID, GIS and GSM. In: Proc. IEEE student conf. res. develop. (SCOReD), Nov 2009, pp 37–40

    Google Scholar 

  4. Hoornweg D, Perinaz B (2012) What a waste: a global review of solid waste management. Urban Dev Ser Knowl Pap 15:87–88

    Google Scholar 

  5. Chuang SY, Sahoo N, Lin HW, Chang YH (2019) Predictive maintenance with sensor data analytics on a Raspberry Pi-based experimental platform. Sensors 19(18):3884

    Article  Google Scholar 

  6. Udhaya Sankar SM, Dhinakaran D, Cathrin Deboral C, Ramakrishnan M (2022) Safe routing approach by identifying and subsequently eliminating the attacks in MANET. Int J Eng Trends Technol 70(11):219–231. https://doi.org/10.14445/22315381/IJETT-V70I11P224

  7. Yazici M, Basurra S, Gaber M (2018) Edge machine learning: enabling smart Internet of Things applications. Big Data Cogn Comput 2(3):26

    Article  Google Scholar 

  8. Vigneshwaran S, Karthikeyan N, Mahalakshmi M, Manikandan V (2019) A smart dustbin using LoRa technology. Int J Sci Res Review 07(03):704–708

    Google Scholar 

  9. Theivanathan G, Bala Murugan T, Dhinesh M, Kalaiarasan S, HaaslinBilto LA (2021) Smart waste management using Lora. Ann RSCB 25(6):2011–2017. ISSN 1583-6258

    Google Scholar 

  10. Muthukumar S, Selvamurugan K, Santhosh Kumar K, Shalini V (2020) Smart bin waste management network using LoRa and Internet of Things. Int J Eng Res Appl 10(6):61–65

    Google Scholar 

  11. Khoa TA et al (2020) Waste management system using IoT-based machine learning in university. Wirel Commun Mob Comput 2020:6138637

    Google Scholar 

  12. Jino Ramson SR, Jackuline Moni D (2017) Wireless sensor networks based smart bin. Comput Electr Eng 64:337–353

    Google Scholar 

  13. Vigneswaran S, Kandasamy J, Johir MAH (2016) Sustainable operation of composting in solid waste management. Procedia Environ Sci 35:408–415

    Article  Google Scholar 

  14. Dara PK, Byragi Reddy T, Gelaye KT (2017) A study on municipal solid waste management ın Visakhapatnam City. Int J Adv Res 5(6):1448–1453

    Google Scholar 

  15. Kumar SV, Kumaran TS, Kumar AK, Mathapati M (2017) Smart garbage monitoring and clearance system using Internet of Things. In: 2017 IEEE ınternational conference on smart technologies and management for computing, communication, controls, energy and materials (ICSTM), Chennai, India, pp 184–189. https://doi.org/10.1109/ICSTM.2017.8089148

  16. Udhaya Sankar SM, Christo MS, Uma Priyadarsini PS (2023) Secure and energy concise route revamp technique in wireless sensor networks. Intell Autom Soft Comput 35(2):2337–2351

    Google Scholar 

  17. Dhinakaran D, Joe Prathap PM (2022) Protection of data privacy from vulnerability using two-fish technique with Apriori algorithm in data mining. J Supercomput 78(16):17559–17593. https://doi.org/10.1007/s11227-022-04517-0

  18. Vishnu S, Ramson SRJ, Senith S, Anagnostopoulos T, Abu-Mahfouz AM, Fan Z, Srinivasan S, Kirubaraj AA (2021) IoT-enabled solid waste management in smart cities. Smart Cities 4:1004–1017. https://doi.org/10.3390/smartcities4030053

    Article  Google Scholar 

  19. Gomathy G, Kalaiselvi P, Selvaraj D, Dhinakaran D, Anish TP, Arul Kumar D (2022) Automatic waste management based on IoT using a wireless sensor network. In: 2022 international conference on edge computing and applications (ICECAA), pp 629–634. https://doi.org/10.1109/ICECAA55415.2022.9936351

  20. Cerchecci M, Luti F, Mecocci A, Parrino S, Peruzzi G, Pozzebon A (2018) A low power IoT sensor node architecture for waste management within smart cities context. Sensors 18(4):1282

    Article  Google Scholar 

  21. Mdukaza S, Isong B, Dladlu N, Abu-Mahfouz AM (2018) Analysis of IoT-enabled solutions in smart waste management. In: Proceedings of IECON 2018—44th annual conference of the IEEE industrial electronic society, October, pp 4639–4644

    Google Scholar 

  22. Dhinakaran D, Khanna MR, Panimalar SP, Anish TP, Kumar SP, Sudharson K (2022) Secure Android location tracking application with privacy enhanced technique. In: 2022 fifth international conference on computational intelligence and communication technologies (CCICT), pp 223–229. https://doi.org/10.1109/CCiCT56684.2022.00050

  23. Jena Catherine Bel D, Esther C, Zionna Sen GB,Tamizhmalar D, Dhinakaran D, Anish TP (2022) Trustworthy cloud storage data protection based on blockchain technology. In: 2022 international conference on edge computing and applications (ICECAA), pp 538–543. https://doi.org/10.1109/ICECAA55415.2022.9936299

  24. Ziouzios D, Dasygenis M (2019) A smart recycling bin for waste classification. In: Proceedings of 2019 Panhellenic conference on electronics and telecommunications (PACET), November, pp 1–4

    Google Scholar 

  25. Ananth TS, Baskar M, Udhaya Sankar SM, Thiagarajan R, Arul Dalton G, Rajeshwari PR, Kumar AS, Suresh A (2021) Evaluation of low power consumption network on chip routing architecture. Microprocess Microsyst 82. https://doi.org/10.1016/j.micpro.2020.103809

  26. Kirubanantham P, Udhaya Sankar SM, Amuthadevi C, Baskar M, Senthil Raja M, Karthik PC (2022) An intelligent web service group-based recommendation system for long-term composition. J Supercomput 78:1944–1960

    Google Scholar 

  27. Srinivasan L, Selvaraj D, Dhinakaran D, Anish TP (2023) IoT-based solution for paraplegic sufferer to send signals to physician via Internet. SSRG Int J Electr Electron Eng 10(1):41–52. https://doi.org/10.14445/23488379/IJEEE-V10I1P104

  28. Selvaraj D, Udhaya Sankar SM, Dhinakaran D, Anish TP (2023) Outsourced analysis of encrypted graphs in the cloud with privacy protection. SSRG Int J Electr Electron Eng 10(1):53–62. https://doi.org/10.14445/23488379/IJEEE-V10I1P105

  29. Faccio M, Persona A, Zanin G (2011) Waste collection multi objective model with real time traceability data. Waste Manage 31(12):2391–2405

    Article  Google Scholar 

  30. Aruna Jasmine J, Nisha Jenipher V, Richard Jimreeves JS, Ravindran K (2021) A traceability set up using digitalization of data and accessibility. In: International conference on intelligent sustainable systems (ICISS), Tirunelveli, India. IEEE Xplore, pp 907–910. https://doi.org/10.1109/ICISS49785.2020.9315938

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. Dhinakaran .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Dhinakaran, D., Udhaya Sankar, S.M., Ananya, J., Roshnee, S.A. (2023). IOT-Based Whip-Smart Trash Bin Using LoRa WAN. In: Jeena Jacob, I., Kolandapalayam Shanmugam, S., Izonin, I. (eds) Expert Clouds and Applications. ICOECA 2022. Lecture Notes in Networks and Systems, vol 673. Springer, Singapore. https://doi.org/10.1007/978-981-99-1745-7_20

Download citation

Publish with us

Policies and ethics