Cost-Effective Waste Collection System Based on the Internet of Wasted Things (IoWT)

  • Chakkrit Snae NamahootEmail author
  • Michael Brückner
  • Yoseung Kim
  • Sopon Pinijkitcharoenkul
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 637)


Many municipalities and local organizations are currently planning to improve their services by applying information and communication technologies (ICT), especially Web-based approaches, to serve citizens, business, and the government agencies as well. Besides the quality of service, cost-effectiveness is a major criterion to be met. In this paper, we present a Web-based solution to urban and suburban waste management (Internet of wasted things), which employs smart bins, a wireless sensor network, and a back-end real-time data collection and communication system for managing waste collection in a cost-effective way. Results are gained by setting up a prototype smart waste management system (SWMS) in a local community in the lower north of Thailand. The system may be employed in similar projects, where cost-effectiveness is a major criterion regarding feasibility.


Smart waste management Internet of wasted things (IoWT) Wireless sensor networks Cost-effectiveness 


  1. 1.
    Guerrero, L.A., Ger, G., William, H.: Solid waste management challenges for cities in developing countries. Waste Manage. 33(1), 220–232 (2013)CrossRefGoogle Scholar
  2. 2.
    Phatcha: Thailand smart city. DEPA brochure (2017)Google Scholar
  3. 3.
    Saha, H.N., Auddy, S.: Waste management using Internet of Thing (IoT). In: 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON). IEEE Press, Bangkok, pp. 359–363 (2017)Google Scholar
  4. 4.
    Datta, D., Alam, I., Mallick, T.C.: Internet of Things (IoT) based waste management system. In: 4th National Conference On Natural Science and Technology 2017 in Asian University for Women (AUW), Chittagong (NCNST’17), (2017)Google Scholar
  5. 5.
    Accent systems, Differences between NB-IoT and LTE-M/What is NB-IoT, Last Accessed 20 August 2019
  6. 6.
    Samih, H.: Smart cities and internet of things. J. Inf. Technol. Case Appl. Res. 21(1), 3–12 (2019)Google Scholar
  7. 7.
    Bigirimana, S.: Managing waste through the Internet of Things (IoT): In: ACRID’17 EAI International Conference for Research, Innovation and Development for Africa. Doi: 10.4108/eai.20-6-2017.2270818 (2018)Google Scholar
  8. 8.
    Suresh, A., Udendhran, R.: An efficient framework based on cloud computing integrated with Internet of Things technology for intelligent waste management. In: Raj, P., Koteeswaran, S. (eds.) Novel Practices and Trends in Grid and Cloud Computing. IGI Global (2019)Google Scholar
  9. 9.
    Anagnostopoulos, T., Zaslavsky, A., Kolomvatsos, K., Medvedev, A., Amirian, P., Morley, J., Hadjieftymiades, S.: Challenges and opportunities of waste management in IoT-enabled smart cities: a survey. IEEE Trans. Sustain. Comput. 2(3), 275–289 (2017)CrossRefGoogle Scholar
  10. 10.
    Medvedev, A., Fedchenko, P., Zaslavsky, A., Anagnostopoulos, T., Khoruzhnikov, S.: Waste management as an IoT enabled service in smart cities. In: 8th International Conference on Internet of Things and Smart Spaces, ruSMART (2015)Google Scholar
  11. 11.
    Khan, F.I., Gawade, A.: Dynamic routing for waste management using IoT for cost-efficient service. In: International Conference on Current Trends in Computer, Electrical, Electronics and Communication (ICCTCEEC-2017), pp. 222–230 (2017)Google Scholar
  12. 12.
    Esmaeilian, B., Wang, B., Lewis, K., Duarte, F., Ratti, C., Behdad, S.: The future of waste management in smart and sustainable cities: a review and concept paper. Waste Manage. 81, 177–195 (2018)CrossRefGoogle Scholar
  13. 13.
    Namahoot, C.S., Brückner, M.: SPEARS: Smartphone emergency and accident reporting system using social network service and Dijkstra’s algorithm on Android. Lect. Notes Electr. Eng. 310, 173–182 (2015)CrossRefGoogle Scholar
  14. 14.
    Raj, J.S.: QOS optimization of energy efficient routing in IoT wireless sensor. J. ISMAC 1(01), 12–23 (2019)CrossRefGoogle Scholar
  15. 15.
    Krishnaraj, N., Smys, S.: A multihoming ACO-MDV routing for maximum power efficiency in an IoT environment. Wirel. Pers. Commun. 1–14 (2019)Google Scholar
  16. 16.
    FIWARE. FIWARE Community, Last Accessed 15 Sept 2019

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Chakkrit Snae Namahoot
    • 1
    Email author
  • Michael Brückner
    • 2
  • Yoseung Kim
    • 3
  • Sopon Pinijkitcharoenkul
    • 4
  1. 1.Department of Computer Science and Information Technology, Faculty of ScienceNaresuan UniversityPhitsanulokThailand
  2. 2.Department of Educational Technology and Communication, Faculty of EducationNaresuan UniversityPhitsanulokThailand
  3. 3.Department of Electrical and Computer Engineering, Faculty of EngineeringNaresuan UniversityPhitsanulokThailand
  4. 4.Information Technology CenterPibulsongkram Rajabhat UniversityPhitsanulokThailand

Personalised recommendations