Internet of Things enables smart solid waste bin management system for a sustainable environment.

Kashif Naseer Qureshi, Ayesha Khan, Syed Umair Ullah Jamil, Bhisham Sharma, Gwanggil Jeon
Author Information
  1. Kashif Naseer Qureshi: Department of Electronic & Computer Engineering, University of Limerick, Limerick, V94 T9PX, Ireland.
  2. Ayesha Khan: Department of Earth and Environmental Sciences, Bahria University, Islamabad, Pakistan.
  3. Syed Umair Ullah Jamil: Department of Earth and Environmental Sciences, Bahria University, Islamabad, Pakistan.
  4. Bhisham Sharma: Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140 401, India.
  5. Gwanggil Jeon: Department of Embedded Systems Engineering, Incheon National University, Incheon, Korea. gjeon@inu.ac.kr.

Abstract

solid waste management (SWM) is a pressing concern and significant research topic that requires attention from citizens and government stakeholders. Most of the responsibility of waste management is on the municipal sector for its collection, reallocation, and reuse of other resources. The daily solid waste production is more than 54,850 tonnes in urban areas and is difficult to manage due to limited resources and different administrative and service issues. New technologies are playing their role in this area but how to integrate the technologies is still a question, especially for developing countries. This paper is divided into two main phases including a detailed investigation and a technological solution. In the first phase, the data is collected by using the qualitative method to investigate and identify the issues related to waste management. After a detailed investigation and results, the gap is identified by using statistical analysis and proposed a technological solution in the second phase. The technology-based solution is used to control and manage waste with a low-cost, fast, and manageable solution. The new sensor-based technologies, cellular networks, and social media are utilized to monitor the trash in the areas. The trash management department receives notification via cellular services to locate the dustbin when the dustbin reaches a maximum level so the department may send a waste collector vehicle to the relevant spot to collect waste. The smart and fast solution will connect all stakeholders in the community and reduce the cost and time and make the collection process faster. The experiment results indicated the issues and effectiveness of the proposed solution.

Keywords

References

  1. Ahmed M, Khan A, Ahmed M, Tahir M, Jeon G, Fortino G, Piccialli F (2022) Energy theft detection in smart grids: taxonomy, comparative analysis, challenges, and future research directions. IEEE/CAA J Autom Sin 9(4):578–600. https://doi.org/10.1109/JAS.2022.105404 [DOI: 10.1109/JAS.2022.105404]
  2. Ali M, Geng Y, Robins D, Cooper D, Roberts W, Vogtländer J (2019) Improvement of waste management practices in a fast expanding sub-megacity in Pakistan, on the basis of qualitative and quantitative indicators. Waste Manage 85:253–263. https://doi.org/10.1016/j.wasman.2018.12.030 [DOI: 10.1016/j.wasman.2018.12.030]
  3. Aliero MS, Qureshi KN, Pasha MF, Jeon G (2021) Smart Home Energy Management Systems in Internet of Things networks for green cities demands and services. Environ Technol Innov 22:101443. https://doi.org/10.1016/j.eti.2021.101443
  4. Amruta B, Madhuri S, Pallavi P, Satish S (2018) City garbage collection indicator using wireless communication. Ijsrset 4:378–380
  5. Anitha A (2017) Garbage monitoring system using IoT. IOP Conf Ser: Mater Sci Eng IOP Publ. https://doi.org/10.1088/1757-899X/263/4/042027 [DOI: 10.1088/1757-899X/263/4/042027]
  6. Anwar M, Abdullah AH, Altameem A, Qureshi KN, Masud F, Faheem M, Cao Y, Kharel R (2018) Green communication for wireless body area networks: energy aware link efficient routing approach. Sensors 18(10):3237. https://doi.org/10.3390/s18103237 [DOI: 10.3390/s18103237]
  7. Bharadwaj AS, Rego R, Chowdhury A (2016) IoT based solid waste management system: a conceptual approach with an architectural solution as a smart city application. IEEE INDICON 2016. https://doi.org/10.1109/INDICON.2016.7839147 [DOI: 10.1109/INDICON.2016.7839147]
  8. Chehri A, Jeon G (2021) Optimal matching between energy saving and traffic load for mobile multimedia communication. Concurr Comput Pract Exp 33(4):e5035. https://doi.org/10.1002/cpe.5035
  9. Chehri A, Saadane R, Fofana I, Jeon G (2021) Smart grid for sustainable cities: strategies and pathways for energy efficiency solutions. KES Int Conf Sustain Energy Build SEB-21. https://doi.org/10.1007/978-981-16-6269-0_27 [DOI: 10.1007/978-981-16-6269-0_27]
  10. Chen WE, Wang YH, Huang PC, Huang YY, Tsai MY (2018) A smart IoT system for waste management. IEEE IC3. https://doi.org/10.1109/IC3.2018.00-24 [DOI: 10.1109/IC3.2018.00-24]
  11. Chen H, Xu C, Zhao F, Geng C, Liu Y, Zhang J, Li Z (2023) Designing the anti-biofouling surface of an ultrafiltration membrane with a novel zwitterionic poly(aryl ether oxadiazole) containing benzimidazole. Appl Surf Sci 609:155447. https://doi.org/10.1016/j.apsusc.2022.155447 [DOI: 10.1016/j.apsusc.2022.155447]
  12. Dubey S, Singh P, Yadav P, Singh KK (2020) Household waste management system using IoT and machine learning. Procedia Comput Sci 167:1950–1959. https://doi.org/10.1016/j.procs.2020.03.222 [DOI: 10.1016/j.procs.2020.03.222]
  13. ESCAP U (2017) Sustainable development benefits of integrated waste management: integrated resource recovery centers. Environment and Development Division. Retrieved from: https://hdl.handle.net/20.500.12870/3085
  14. Gautam HC, Yadav V, Singh V (2022) IoT-enabled services for sustainable municipal solid waste management in India. IoT-Based Smart Waste Management for Environmental Sustainability. CRC Press, pp 83–98
  15. Geng C, Zhao F, Niu H, Zhang J, Dong H, Li Z, Chen H (2022) Enhancing the permeability, anti-biofouling performance and long-term stability of TFC nano filtration membrane by imidazole-modified carboxylate graphene oxide/polyether sulfone substrate. J Membr Sci 664:121099. https://doi.org/10.1016/j.memsci.2022.121099 [DOI: 10.1016/j.memsci.2022.121099]
  16. Kaur A, Singh G, Kukreja V, Sharma S, Singh S, Yoon B (2022) Adaptation of IoT with blockchain in food supply chain management: an analysis-based review in development, benefits and potential applications. Sensors 22(21):8174. https://doi.org/10.3390/s22218174 [DOI: 10.3390/s22218174]
  17. Kukreja V, Sakshi (2022) Machine learning models for mathematical symbol recognition: a stem to stern literature analysis. Multimed Tools Appl 81(20):28651–28687. https://doi.org/10.1007/s11042-022-12644-2 [DOI: 10.1007/s11042-022-12644-2]
  18. Liu L, Li Z, Fu X, Liu X, Li Z, Zheng W (2022a) Impact of power on uneven development: evaluating built-up area changes in Chengdu based on NPP-VIIRS images (2015–2019). Land 11(4):1–21. https://doi.org/10.3390/land11040489 [DOI: 10.3390/land11040489]
  19. Liu X, Tong D, Huang J, Zheng W, Kong M, Zhou G (2022b) What matters in the e-commerce era? Modelling and mapping shop rents in Guangzhou, China. Land Use Policy 123:106430. https://doi.org/10.1016/j.landusepol.2022.106430 [DOI: 10.1016/j.landusepol.2022.106430]
  20. Liu X, Kong M, Tong D, Zeng X, Lai Y (2022c) Property rights and adjustment for sustainable development during post-productivist transitions in China. Land Use Policy 122:106379. https://doi.org/10.1016/j.landusepol.2022.106379 [DOI: 10.1016/j.landusepol.2022.106379]
  21. Lv Z, Chen D, Lv H (2022) Smart city construction and management by digital twins and BIM big data in COVID-19 scenario. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 18(2s):1–21. https://doi.org/10.1145/3529395
  22. Minh Q, Van H, Quy V, Ngoc L, Chehri A, Jeon G (2022) Edge computing for IoT-enabled smart grid: the future of energy. Energies 15(17):6140. https://doi.org/10.3390/en15176140 [DOI: 10.3390/en15176140]
  23. Mookkaiah SS, Thangavelu G, Hebbar R, Haldar N, Singh H (2022) Design and development of smart Internet of Things–based solid waste management system using computer vision. Environ Sci Pollut Res 29(43):64871–64885. https://doi.org/10.1007/s11356-022-20428-2 [DOI: 10.1007/s11356-022-20428-2]
  24. Nirde K, Mulay PS, Chaskar UM (2017) IoT based solid waste management system for smart city. IEEE ICICCS 2017. https://doi.org/10.1109/ICCONS.2017.8250546 [DOI: 10.1109/ICCONS.2017.8250546]
  25. Pardini K, Rodrigues JJ, Kozlov SA, Kumar N, Furtado V (2019) IoT-based solid waste management solutions: a survey. J Sens Actuator Netw 8(1):5. https://doi.org/10.3390/jsan8010005 [DOI: 10.3390/jsan8010005]
  26. Qureshi K, Alhudhaif A, Hussain A, Iqbal S, Jeon G (2022) Trust aware energy management system for smart homes appliances. Comput Electr Eng 97:107641. https://doi.org/10.1016/j.compeleceng.2021.107641 [DOI: 10.1016/j.compeleceng.2021.107641]
  27. Rani N (2022) IoT-based smart waste management for smart cities. CRC Press, IoT-Based Smart Waste Management for Environmental Sustainability, pp 121–138
  28. Rehman A, Haseeb K, Jeon G, Ali Bahaj SA (2022) Secure edge-based energy management protocol in smart grid environments with correlation analysis. Sensors 22(23):9236. https://doi.org/10.3390/s22239236 [DOI: 10.3390/s22239236]
  29. Sivakumar M, Renuka P, Chitra P, Karthikeyan S (2022) IoT incorporated deep learning model combined with SmartBin technology for real-time solid waste management. Comput Intell 38(2):323–344. https://doi.org/10.1111/coin.12495 [DOI: 10.1111/coin.12495]
  30. Slalmi A, Chaibi H, Saadane R, Chehri A, Jeon G (2021) Energy-efficient and self-organizing Internet of Things networks for soil monitoring in smart farming. Comput Electr Eng 92:107142. https://doi.org/10.1016/j.compeleceng.2021.107142 [DOI: 10.1016/j.compeleceng.2021.107142]
  31. Tong D, Chu J, Han Q, Liu X (2022) How land finance drives urban expansion under fiscal pressure: evidence from Chinese cities. Land 11(2):253. https://doi.org/10.3390/land11020253 [DOI: 10.3390/land11020253]
  32. Uganya G, Rajalakshmi D, Teekaraman Y, Kuppusamy R, Radhakrishnan A (2022) A novel strategy for waste prediction using machine learning algorithm with IoT based intelligent waste management system. Wirel Commun Mob Comput 2022:2063372. https://doi.org/10.1155/2022/2063372 [DOI: 10.1155/2022/2063372]
  33. Vyas S, Prajapati P, Shah AV, Varjani S (2022) Municipal solid waste management: dynamics, risk assessment, ecological influence, advancements, constraints and perspectives. Sci Total Environ 814:152802–152802. https://doi.org/10.1016/j.scitotenv.2021.152802 [DOI: 10.1016/j.scitotenv.2021.152802]
  34. Xenya MC, D’souza E, Woelorm KOD, Adjei-Laryea RN, Baah-Nyarkoh E (2020) A proposed IoT based smart waste bin management system with an optimized route: a case study of Ghana. IEEE ICTAS 2020. https://doi.org/10.1109/ICTAS47918.2020.234005 [DOI: 10.1109/ICTAS47918.2020.234005]

MeSH Term

Humans
Solid Waste
Refuse Disposal
Internet of Things
Waste Management
Garbage
Cities

Chemicals

Solid Waste

Word Cloud

Created with Highcharts 10.0.0wastemanagementsolutionissuestechnologiesstakeholderscollectionresourcessolidareasmanagedetailedinvestigationtechnologicalphaseusingresultsproposedfastcellularnetworkstrashdepartmentdustbinsmartSolidSWMpressingconcernsignificantresearchtopicrequiresattentioncitizensgovernmentresponsibilitymunicipalsectorreallocationreusedailyproduction54850tonnesurbandifficultduelimiteddifferentadministrativeserviceNewplayingroleareaintegratestillquestionespeciallydevelopingcountriespaperdividedtwomainphasesincludingfirstdatacollectedqualitativemethodinvestigateidentifyrelatedgapidentifiedstatisticalanalysissecondtechnology-basedusedcontrollow-costmanageablenewsensor-basedsocialmediautilizedmonitorreceivesnotificationviaserviceslocatereachesmaximumlevelmaysendcollectorvehiclerelevantspotcollectwillconnectcommunityreducecosttimemakeprocessfasterexperimentindicatedeffectivenessInternetThingsenablesbinsystemsustainableenvironmentCellularGovernmentQualitativeSensorTechnologiesUrbanizationWaste

Similar Articles

Cited By

No available data.