Skip to main content
SpringerLink
Log in

Using Edge-to-Cloud Analytics IoT Dumpsite Monitor for Proactive Waste Management

  • Conference paper
  • First Online:
Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12957))

Included in the following conference series:

Abstract

In this work, an Edge-to-Cloud Analytics architecture model for Waste Management and Hazard Alert system is developed for prompt management of waste dumpsites. The system enables IoT smart nodes to monitor dumpsites and generate alerts on the detection of gas emissions, smoke, and fire. The custom-designed IoT dumpsite edge aggregator module is achieved using MQ-7 (carbon monoxide), MQ-2 (smoke/methane), MQ-135 (CO2, benzene, NH3, NOx), and flame sensors for proactive detection of environmental hazards. The scalable Edge-to-Cloud Analytics architectural model produces efficient data stream uploading from the IoT sensor nodes into the cloud domain with an MKR-1000 Edge Controller used to achieve edge-to-fog gateway processing. Three algorithms developed for the system include IoT node characterization, sensor reading/calibration, and data transmission to remote servers using Simultaneous Wireless Information Power Transfer (SWIPT). A proof of concept was demonstrated by building three IoT dumpsite nodes that were used for testing. The Testbed deployment with visualization patterns is observed on Open Source ThingSpeak Cloud-native platform. The key contributions to knowledge include the use of Edge-to-Cloud analytics for dumpsite monitoring and prompt evacuation, the introduction of SWIPT to conserve energy for optimized valued-insights and the development of an architectural model that allows lower computer-storage resources at the edge. This is very good since a single IoT device only serves a small geographic area. Future work will investigate throughput and latency minimization, API containerization for light deployments using Docker Swarm and Kubernetes. Since most dumpsites are remarkably close to end-users, edge to cloud (IoT) analytics is recommended for a sustainable solution to waste management in Nigeria.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
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. Onu, B., Price, T., Surendran, S.S., Ebie, S.: Solid waste management: a critique of Nigeria’s waste management policy. Int. J. Knowl. Cult. Change Manag. (12) (2012)

    Google Scholar 

  2. Bose, B.K.: Global warming: energy, environmental pollution, and the impact of power electronics. IEEE Ind. Electron. Mag. 4(1), 6–17 (2010)

    Article  Google Scholar 

  3. Thompson, A.F., Afolayan, A.H., Ibidunmoye, E.O.: Application of geographic information system to solid waste management. In: 2013 Pan African International Conference on Information Science, Computing & Telecommunications (PACT), Lusaka, pp. 206–211 (2013)

    Google Scholar 

  4. Ike, C.C., Ezeibe, C.C., Anijiofor, S.C., Daud, N.N.: Solid waste management in Nigeria: problems, prospects, and policies. J. Solid Waste Tech. Manag. 44(2), 163–172 (2018)

    Google Scholar 

  5. Ogundokun, R.O., Awotunde, J.B., Misra, S., Abikoye, O.C., Folarin, O.: Application of machine learning for Ransomware detection in IoT devices. In: Misra, S., Kumar Tyagi, A. (eds.) Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities. SCI, vol. 972, pp. 393–420. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-72236-4_16

    Chapter  Google Scholar 

  6. Hernandez, J., Daza, K., Florez, H., Misra, S.: Dynamic interface and access model by dead token for IoT systems. In: Florez, H., Leon, M., Diaz-Nafria, J.M., Belli, S. (eds.) ICAI 2019. CCIS, vol. 1051, pp. 485–498. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-32475-9_35

    Chapter  Google Scholar 

  7. What is Edge Analytics, Sisense (2020). https://www.sisense.com/glossary/edge-analytics/#lbf-680. Accessed 8 Mar 2020

  8. Choi, K.W., et al.: Simultaneous wireless information and power transfer (SWIPT) for Internet of Things: novel receiver design and experimental validation. IEEE Internet of Things J. 7(4), 2996–3012 (2020)

    Article  Google Scholar 

  9. Erçin, M., Köse, M., Atasoy, A.: Route optimization for waste collection process through IoT supported waste management system, Technical report, January 2021

    Google Scholar 

  10. Özmen, G., Özsoy, A.: Waste management optimization by using IoT. Project Research Report

    Google Scholar 

  11. Mehmood, Y., Ahmad, F., Yaqoob, I., Adnane, A., Imran, M., Guizani, S.: Internet-of-Things-based smart cities: recent advances and challenges. IEEE Commun. Mag. 55(9), 16–24 (2017)

    Article  Google Scholar 

  12. Patil, S., Mohite, S.: IoT based smart waste management system for smart city. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 7(4), 1–4 (2017). ISSN 2277 128X

    Google Scholar 

  13. Adeola, A.M., Othman, M.: An overview of ICT waste management: suggestions of best practices from developed countries to developing nations (Nigeria). In: 7th International Conference on Networked Computing, Gyeongsangbuk-do, pp. 109–115 (2011)

    Google Scholar 

  14. Udoakah, Y.N., Akpan, U.S.: A sustainable approach to municipal solid waste management in southern Nigeria. In: IEEE Global Humanitarian Technology Conference (GHTC), San Jose, CA, pp. 321–325 (2013)

    Google Scholar 

  15. Guihong, B., Hua, W., Qiang, L., Yan, H.: Agent-based model for solid waste management and policy simulating analysis. In: 27th Chinese Control Conference on Kunming, pp. 768–773 (2008). https://doi.org/10.1109/CHICC.2008.4605156

  16. Bhattacharya, B.K., Das, S.: A holistic approach for integrated solid waste management system of Kolkata municipality corporation area. In: IEEE 18th International Conference on Industrial Engineering and Engineering Management, Changchun, pp. 1999–2003 (2011)

    Google Scholar 

  17. Zeeshan, S., Shahid, Z., Khan, S., Shaikh, F.A.: Solid waste management in Korangi District of Karachi using GPS and GIS: a case study. In: 7th International Conference on Computer and Communication Engineering (ICCCE), Kuala Lumpur, pp. 1–4 (2018)

    Google Scholar 

  18. Vasagade, T.S., Tamboli, S.S., Shinde, A.D.: Dynamic solid waste collection and management system based on sensors, elevator and GSM. In: 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT), Coimbatore, pp. 263–267 (2017)

    Google Scholar 

  19. Rumyantseva, N.V., Doronin, A.S., Primak, E.A.: Improvement of the system of selective collection of household waste in Latvia. In: 2018 IEEE International Conference on Management of Municipal Waste as an Important Factor of Sustainable Urban Development (WASTE), St. Petersburg, pp. 14–16 (2018)

    Google Scholar 

  20. Labib, S.M.: Volunteer GIS (VGIS) based waste management: a conceptual design and use of web 2.0 for smart waste management in Dhaka City. In: Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), Kolkata, pp. 137–141 (2017)

    Google Scholar 

  21. Ravi, S., Jawahar, T.: Smart city solid waste management leveraging semantic based collaboration. In: 2017 International Conference on Computational Intelligence in Data Science, Chennai, pp. 1–4 (2017)

    Google Scholar 

  22. Le Bin, T.W., Rondeau, J.H., Reed, C.: Analog-to-digital converters. IEEE Signal Process. Mag. 22(6), 69–77 (2005). https://doi.org/10.1109/MSP.2005.1550190

    Article  Google Scholar 

  23. Okafor, K.C.: Dynamic reliability modelling of cyber-physical edge computing network. Int. J. Comput. Appl. (IJCA) 42, 1–10 (2019). SI-Sustainable Computing for Intelligent Systems

    Google Scholar 

  24. Okafor, K.C., Ononiwu, G.C., Goundar, S., Chijindu, V.C., Udeze, C.C.: Towards complex dynamic fog network orchestration using embedded neural switch. Int. J. Comput. Appl. (IJCA) 40(4), 1–18 (2018). SI-Internet of Everything, Networks, Application, and Computing Systems

    Google Scholar 

  25. Okafor, K.C., Achumba, I., Chukwudebe, G., Ononiwu, G.: Leveraging fog computing for scalable IoT datacenter using spine-leaf network topology. J. Electr. Comput. Eng. 2017, 1–11 (2017). https://doi.org/10.1155/2017/2363240

    Article  Google Scholar 

  26. Atayero, A.A., Popoola, S.I., Williams, R., Badejo, J.A., Misra, S.: Smart city waste management system using Internet of Things and cloud computing. In: Abraham, A., Siarry, P., Ma, K., Kaklauskas, A. (eds.) ISDA 2019. AISC, vol. 1181, pp. 601–611. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-49342-4_58

    Chapter  Google Scholar 

  27. Misra, S.: A step by step guide for choosing project topics and writing research papers in ICT related disciplines. In: Misra, S., Muhammad-Bello, B. (eds.) Information and Communication Technology and Applications, ICTA 2020, pp. 727–744. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-69143-1_55

    Chapter  Google Scholar 

  28. Odun-Ayo, I., Geteloma, V., Misra, S., Ahuja, R., Damasevicius, R.: Systematic mapping study of utility-driven platforms for clouds. In: Singh, P.K., Panigrahi, B.K., Suryadevara, N.K., Sharma, S.K., Singh, A.P. (eds.) Proceedings of ICETIT 2019. LNEE, vol. 605, pp. 762–774. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-30577-2_68

    Chapter  Google Scholar 

  29. Samuel, V., Misra, S., Nicholas, O.: Internet of Things (IoTs) and its application to road navigation and usage problem. In: IEEE Asia-Pacific World Congress on Computer Science and Engineering, pp. 1–5 (2014)

    Google Scholar 

  30. Abiodun, M.K., et al.: Cloud and big data: a mutual benefit for organization development. In: Journal of Physics: Conference Series, vol. 1767, no. 1, p. 012020. IOP Publishing (2021)

    Google Scholar 

  31. Olowu, M., Yinka-Banjo, C., Misra, S., Florez, H.: A secured private-cloud computing system. In: Florez, H., Leon, M., Diaz-Nafria, J.M., Belli, S. (eds.) ICAI 2019. CCIS, vol. 1051, pp. 373–384. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-32475-9_27

    Chapter  Google Scholar 

Download references

Acknowledgment

The authors wish to acknowledge and appreciate the Tertiary Education Trust Fund (TETFUND), Nigeria for funding the Waste Management and Hazard Alert System in 2019 and the Federal University of Technology Owerri management for providing a conducive environment for the research.

Author information

Authors and Affiliations

  1. Federal University of Technology Owerri, Owerri, Nigeria

    E. S. Mbonu, K. C. Okafor, G. A. Chukwudebe, C. O. Ikerionwu & E. C. Amadi

Authors
  1. E. S. Mbonu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. K. C. Okafor
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. G. A. Chukwudebe
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. C. O. Ikerionwu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. E. C. Amadi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to G. A. Chukwudebe .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Monash University, Clayton, VIC, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

Ethics declarations

The IoT researchers assert no conflict of interest. The funding sponsors are not involved with any role in the conceptualization, study design, data collection, data analysis, manuscript writing, and results in publication.

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mbonu, E.S., Okafor, K.C., Chukwudebe, G.A., Ikerionwu, C.O., Amadi, E.C. (2021). Using Edge-to-Cloud Analytics IoT Dumpsite Monitor for Proactive Waste Management. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12957. Springer, Cham. https://doi.org/10.1007/978-3-030-87013-3_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-87013-3_35

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87012-6

  • Online ISBN: 978-3-030-87013-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation