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Waste Management in IoT- Facilitated Smart Cities- A Suvery

by Swati K. Rajput, Madhavi Patil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 24
Year of Publication: 2018
Authors: Swati K. Rajput, Madhavi Patil
10.5120/ijca2018918037

Swati K. Rajput, Madhavi Patil . Waste Management in IoT- Facilitated Smart Cities- A Suvery. International Journal of Computer Applications. 182, 24 ( Oct 2018), 21-26. DOI=10.5120/ijca2018918037

@article{ 10.5120/ijca2018918037,
author = { Swati K. Rajput, Madhavi Patil },
title = { Waste Management in IoT- Facilitated Smart Cities- A Suvery },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2018 },
volume = { 182 },
number = { 24 },
month = { Oct },
year = { 2018 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number24/30081-2018918037/ },
doi = { 10.5120/ijca2018918037 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:15:03.974297+05:30
%A Swati K. Rajput
%A Madhavi Patil
%T Waste Management in IoT- Facilitated Smart Cities- A Suvery
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 24
%P 21-26
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The new period of Web and Internet of Things (IoT) paradigm is being enabled by the proliferation of various devices like RFIDs, sensors, and actuators. Smart devices (devices having significant computational abilities, converting them to ‘smart things’) are embedded in the environment to monitor and collect ambient information. In a city, this leads to Smart City backgrounds. Intelligent services could be offered on top of such information related to any aspect of humans’ activities. A typical example of services offered in the framework of Smart Cities is IoT-enabled waste management. Waste management involves not only the collection of the waste in the field but also the transport and disposal to the appropriate locations. In this paper, we present a broad and thorough survey of ICT-enabled waste management models. Specifically, we focus on the implementation of smart devices as a key enabling technology in existing waste management. We report on the strengths and weaknesses of various models to reveal their characteristics. This review sets up the basis for delivering new models in the domain as it reveals the needs for defining novel outline for waste management.

References
  1. M. Fazio, M. Paone, A. Puliafito, and M. Villari. “Heterogeneous Sensors Become Homogenous Things in Smart Cities”, IEEE 6th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012, pp. 775-780.
  2. C. Balakrishna, “Enabling Technologies for Smart City Services and Applications”, IEEE 6th International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST), 2012, pp. 223-227.
  3. S. Suakanto, S. H. Supangkat, Suhardi, and R. Sarasgih, “Smart City Dashboard for Integrating Various Data of Sensor Networks”, IEEE International Conference on ICT for Smart Society (ICISS), 2013, pp. 1-5.
  4. R. Carli, M. Dotoli, R. Pelegrino, and L. Ranieri, “Measuring and Managing the Smartness of Cities: A Framework for Classifying Performance Indicators”, IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2013, pp. 1288-1293.
  5. C. Tao, and L. Xiang, “Municipal Solid Waste Recycle Management Information Platform Based on Internet of Things Technology”, IEEE International Conference on Multimedia Information Networking and Security (MINES), 2010, pp. 729-732.
  6. D. Anghinolfi, M. Paolucci, M. Robba, and A. C. Taramasso, “A dynamic optimization model for solid waste recycling”, Waste Management, vol. 33 (2), 2013, pp. 287-296.
  7. M. A. Hannan, M. Arebey, R. A. Begum, and H. Basri, “Radio Frequency Identification (RFID) and communication technologies for solid waste bin truck monitoring system”, Waste Management, vol. 31 (12), 2011, pp. 2406-2413.
  8. K. Lingaraj, R. V. Biradar, and V. C. Patil. A survey on middleware challenges and approaches for wireless sensor networks. In 2015 International Conference on Computational Intelligence and Communication Networks (CICN), pages 56–60, Dec 2015. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/CICN.2015.20
  9. F. Vicentini, A. Giusti, A. Rovetta, X. Fan, Q. He, M. Zhu, and B.Liu, “Sensorized waste collection container for content estimation and collection optimization”, Waste Management, vol. 29 (5), 2009, pp. 1467-1472.
  10. S. Longhi, D. Marzioni, E. Alidori, G. D. Buo, M. Prist, M. Grisostomi, and M. Pirro, “Solid Waste Management Architecture Using Wireless Sensor Network Technology”, IEEE 5th International Conference on New Technologies, Mobility and Security (NTMS), 2012, pp. 1-5.
  11. Rovetta, F. Xiumin, F. Vicentini, M. Zhu, A. Giusti, and Q. He, “Early detection and evaluation of waste through sensorized containers for a collection monitoring application”, Waste Collection, vol. 29 (12), 2009, pp. 2939-2949.
  12. F. Xiumin, M. Zhu, X. Zhang, Q. He, and A. Rovetta, “Solid waste collection optimization considering energy utilization for large city area”, IEEE International Conference Logistics Systems and Intelligent Management, 2010, pp. 1905-1909.
  13. F. D. Maria, and C. Micale, “Impact of source segregation intensity of solid waste on fuel consumption and collection costs”, Waste Management, vol. 33 (11), 2013, pp. 2170-2176.
  14. K. Lingaraj, R. V. Biradar, and V. C. Patil. A survey on mobile-agent middleware design principals and itinerary planning algorithms. In 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), pages 749–753, Oct 2015. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICATCCT.2015.7456983.
  15. V. Catania, and D. Ventura, “An approach for monitoring and smart planning of urban solid waste management using smart-M3 platform”, In the Proceedings of IEEE 15th Conference on Open Innovations Association FRUCT, 2014, pp. 34-31.
  16. N. Teerioja, K. Moliis, E. Kuvaja, M. Ollikainen, H. Punkkinen, and E. Merta, “Pneumatic vs. door-to-door waste collection systems in existing urban areas: a comparison of economicperformance”, Waste Management, vol. 32 (10), 2012, pp. 1782-1791.
  17. W. A. Arbab, F. Ijaz, T. M. Yoon, and C. Lee, “A USN based Automatic waste collection system”, IEEE 14th International Conference on Advanced Communication Technology (ICACT),2012, pp. 936-941.
  18. B. Chowdhury, and M. U. Chowdhury, “RFID-based real-time smart waste management system”, IEEE Australasian Conference on Telecommunication Networks and Applications (ATNAC), 2007, pp. 175-180.
  19. M. Faccio, A. Persona, and G. Zanin, “Waste collection multi objective model with real time traceability data”, Wast Collection, vol. 31 (12), 2011, pp. 2391-2405.
  20. M. A. Hannan, M. Arebey, R. A. Begum, and H. Basri, “An automated solid waste bin level detection system using a gray level aura matrix”, Waste Management, vol. 32 (12), 2012, pp.2229-2238.
  21. Z. Zsigraiova, V. Semiao, and F. Beijoco, “Operation costs and pollutant emissions reduction by definition of new collection scheduling and optimization of MSW collection routes using GIS. The case study of Barreiro, Portugal”, Waste Management, vol. 33 (4), 2013, pp. 793-806.
  22. P. Muthukumaran, and S. B. Sarkar, “Solid waste disposal and water distribution system using the mobile adhoc network” IEEE International Conference on Emerging Trends in Communication, Control, Signal Processing & Computing Applications (C2SPCA),2013, pp. 1-4.
  23. T. R. Pereira-Ramos, M. I. Gomes, and A. P. Barbosa-Povoa, “Assessing and improving management practices when planning packaging waste collection systems”, Resources, Conservation and Recycling, vol. 85, 2014, pp. 116-129.
  24. O. M. Johansson, “The effect of dynamic scheduling and routing in a solid waste management system”, Waste Management, vol.26 (8), 2006, pp. 875-885.
  25. K. Lingaraj et al., Eagilla: An Enhanced Mobile Agent Middleware for Wireless Sensor Networks, Alexandria Eng. J. (2017), http://dx.doi.org/10.1016/j.aej.2017.03.003.
  26. T. Gomes, N. Brito, J. Mendes, J. Cabral, and A. Tavares, “WECO:A wireless platform for monitoring recycling point spots”, IEEE16th Mediterranean Electrotechnical Conference (MELECON),2012, pp. 468-472.
  27. M. Mes, M. Schutten, and A. Perez-Rivera, “Inventory routing for dynamic waste collection”, Waste Management, vol. 34 (9), 2014, pp. 1564-1576.
  28. M. Arebey, M. A. Hannan, R. A. Begum, and H. Basri, “Solid waste bin level detection using gray level co-occurrence matrix feature extraction approach”, Journal of Environmental Management, vol. 104, 2012, pp. 9-18.
  29. Lingaraj K, Sreekanth N, Kaja Moddiudin, Lokesh K M, Prashanth Keni, & Nagaveni. (2017). Information Security Emergency Plan Management System. Advances in Intelligent Systems and Computing - Springer, 508(14), 1–9. https://doi.org/10.1007/978-981-10-2750-5_14.
  30. T. Anagnostopoulos, A. Zaslavsky, “Effective Waste Collection with Shortest Path Semi-Static and Dynamic Routing”, IEEE 14th International Conference on Next GenerationWired/Wireless
Index Terms

Computer Science
Information Sciences

Keywords

Radio Frequency Identification (RFID) Waste Identity Weight and Stolen Bins Identification System (WIWSBIS) Ubiquitous Sensor Network (USN) Gray Level Aura Matrix (GLAM) Receiver Operating Characteristic (ROC).

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