{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T23:25:15Z","timestamp":1772753115452,"version":"3.50.1"},"reference-count":34,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2020,2,12]],"date-time":"2020-02-12T00:00:00Z","timestamp":1581465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001866","name":"Fonds National de la Recherche Luxembourg","doi-asserted-by":"publisher","award":["BRIDGES18\/IS\/12687485"],"award-info":[{"award-number":["BRIDGES18\/IS\/12687485"]}],"id":[{"id":"10.13039\/501100001866","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Waste collection has become a major issue all over the world, especially when it is offered as a service for businesses; unlike public waste collection where the parameters are relatively homogeneous. This industry can greatly benefit from new sensing technologies and advances in artificial intelligence that have been achieved over the last few years. However, in most situations waste management systems are based on obsolete technologies, with a low level of interoperability and thus offering static processes. The most advanced solutions are generally limited to statistical, non-predictive approaches and have a limited view of reality, making them weakly effective in dealing with day-to-day business issues (overflowing containers, poor quality of service, etc.). This paper presents a case study currently being developed in Luxembourg with a company offering a business waste collection service, which has a significant amount of constraints to consider. Our main objective is to investigate the use of multiple waste data sources to derive useful indicators for improving collection processes. We start with company-owned historical data and then investigate GPS information from tracking devices positioned on collection trucks. Furthermore, we analyze data collected from ultrasonic sensors deployed on almost 50 different containers to measure fill levels. We describe the deployment steps and show that this approach, combined with anomaly detection and prediction techniques, has the potential to change the way this business operates. We also discuss the interest of the different datasets presented and multi-objective optimization issues. To the best of our knowledge, this article is the first major work dedicated to the world of professional waste collection.<\/jats:p>","DOI":"10.3390\/s20040978","type":"journal-article","created":{"date-parts":[[2020,2,20]],"date-time":"2020-02-20T03:20:03Z","timestamp":1582168803000},"page":"978","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Heterogeneous Sensing Data Analysis for Commercial Waste Collection"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5525-8023","authenticated-orcid":false,"given":"Foued","family":"Melakessou","sequence":"first","affiliation":[{"name":"Luxembourg Institute of Science and Technology (LIST), L-4362 Esch-sur-Alzette, Luxembourg"}]},{"given":"Paul","family":"Kugener","sequence":"additional","affiliation":[{"name":"Luxembourg Institute of Science and Technology (LIST), L-4362 Esch-sur-Alzette, Luxembourg"}]},{"given":"Neamah","family":"Alnaffakh","sequence":"additional","affiliation":[{"name":"Luxembourg Institute of Science and Technology (LIST), L-4362 Esch-sur-Alzette, Luxembourg"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4446-749X","authenticated-orcid":false,"given":"S\u00e9bastien","family":"Faye","sequence":"additional","affiliation":[{"name":"Luxembourg Institute of Science and Technology (LIST), L-4362 Esch-sur-Alzette, Luxembourg"}]},{"given":"Djamel","family":"Khadraoui","sequence":"additional","affiliation":[{"name":"Luxembourg Institute of Science and Technology (LIST), L-4362 Esch-sur-Alzette, Luxembourg"}]}],"member":"1968","published-online":{"date-parts":[[2020,2,12]]},"reference":[{"key":"ref_1","unstructured":"(2020, February 06). How the Internet of Things Is Aiding the Garbage Crisis. Available online: https:\/\/newsroom.cisco.com\/feature-content?articleId=1757267."},{"key":"ref_2","unstructured":"(2020, February 06). The Impact of Digital Transformation on the Waste Recycling Industry. Available online: https:\/\/store.frost.com\/the-impact-of-digital-transformation-on-the-waste-recycling-industry.html."},{"key":"ref_3","unstructured":"(2020, February 06). Sensoneo Smart Waste Management. Available online: https:\/\/sensoneo.com\/."},{"key":"ref_4","unstructured":"(2020, February 06). EcubeLabs. Available online: https:\/\/www.ecubelabs.com\/solar-powered-trash-compactor\/."},{"key":"ref_5","unstructured":"(2020, February 06). Bigbelly Smart Solutions for Cities. Available online: https:\/\/bigbelly.com\/."},{"key":"ref_6","unstructured":"(2020, February 06). SWAM Smart Waste Collection Systems. Available online: https:\/\/www.list.lu\/en\/research\/project\/swam\/."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Faye, S., Melakessou, F., Mtalaa, W., Gautier, P., AlNaffakh, N., and Khadraoui, D. (2019, January 13\u201314). SWAM: A Novel Smart Waste Management Approach for Businesses using IoT. Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2019), New York, NY, USA.","DOI":"10.1145\/3364544.3364824"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Faye, S., Melakessou, F., Gautier, P., and Khadraoui, D. (2019, January 13\u201314). Demo Abstract: No Time to Waste, with SWAM!. Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2019), New York, NY, USA.","DOI":"10.1145\/3360322.3360991"},{"key":"ref_9","first-page":"78","article-title":"Municipal solid waste collection and management problems: A literature review","volume":"48","year":"2012","journal-title":"Transp. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1007\/BF02098290","article-title":"Routing problems: A bibliography","volume":"61","author":"Laporte","year":"1995","journal-title":"Ann. Oper. Res."},{"key":"ref_11","first-page":"21507","article-title":"Waste Management in IoT-Enabled Smart Cities: A Survey","volume":"6","author":"Srikantha","year":"2017","journal-title":"Int. J. Eng. Comput. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Pardini, K., Rodrigues, J., Kozlov, S., Kumar, N., and Furtado, V. (2019). IoT-based solid waste management solutions: A survey. J. Sens. Actuator Netw., 8.","DOI":"10.3390\/jsan8010005"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Catania, V., and Ventura, D. (2014, January 21\u201325). An approch for monitoring and smart planning of urban solid waste management using smart-M3 platform. Proceedings of the 15th Conference of Open Innovations Association Fruct, St. Petersburg, Russia.","DOI":"10.1109\/FRUCT.2014.6872422"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Aazam, M., St-Hilaire, M., Lung, C.H., and Lambadaris, I. (2016, January 23\u201325). Cloud-based smart waste management for smart cities. Proceedings of the 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD), Toronto, ON, Canda.","DOI":"10.1109\/CAMAD.2016.7790356"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Ramasami, K., and Velumani, B. (2016, January 15\u201317). Location prediction for solid waste management\u2014A Genetic algorithmic approach. Proceedings of the 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Tamil Nadu, India.","DOI":"10.1109\/ICCIC.2016.7919609"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Saha, H.N., Auddy, S., Pal, S., Kumar, S., Pandey, S., Singh, R., Singh, A.K., Banerjee, S., Ghosh, D., and Saha, S. (2017, January 16\u201318). Waste management using Internet of Things (IoT). Proceedings of the 2017 8th annual industrial automation and electromechanical engineering conference (IEMECON), Bangkok, Thailand.","DOI":"10.1109\/IEMECON.2017.8079623"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Thakker, S., and Narayanamoorthi, R. (2015, January 19\u201320). Smart and Wireless Waste Management-An innovative way to manage waste and also produce energy. Proceedings of the IEEE Sponsored 2nd International Conference on Innovations in Information Embedded and Communication Systems (ICIIECS\u201915), Coimbatore, India.","DOI":"10.1109\/ICIIECS.2015.7193141"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Folianto, F., Low, Y.S., and Yeow, W.L. (2015, January 7\u20139). Smartbin: Smart waste management system. Proceedings of the 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Singapore.","DOI":"10.1109\/ISSNIP.2015.7106974"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Malapur, B., and Pattanshetti, V.R. (2017, January 1\u20132). IoT based waste management: An application to smart city. Proceedings of the 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), Chennai, India.","DOI":"10.1109\/ICECDS.2017.8389897"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Anagnostopoulos, T., Zaslavsky, A., and Medvedev, A. (2015, January 7\u20139). Robust waste collection exploiting cost efficiency of IoT potentiality in Smart Cities. Proceedings of the 2015 International Conference on Recent Advances in Internet of Things (RIoT), Singapore.","DOI":"10.1109\/RIOT.2015.7104901"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Shyam, G.K., Manvi, S.S., and Bharti, P. (2017, January 23\u201324). Smart waste management using Internet-of-Things (IoT). Proceedings of the 2017 2nd International Conference on Computing and Communications Technologies (ICCCT), Chennai, India.","DOI":"10.1109\/ICCCT2.2017.7972276"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1564","DOI":"10.1016\/j.wasman.2014.05.011","article-title":"Inventory routing for dynamic waste collection","volume":"34","author":"Mes","year":"2014","journal-title":"Waste Manag."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1016\/j.wasman.2018.04.033","article-title":"Data analytics approach to create waste generation profiles for waste management and collection","volume":"77","author":"Niska","year":"2018","journal-title":"Waste Manag."},{"key":"ref_24","unstructured":"(2020, February 06). Divalto Solution. Available online: https:\/\/www.divalto.com\/en\/."},{"key":"ref_25","unstructured":"(2020, February 06). Winfleet Solution. Available online: https:\/\/www.skycom.com\/."},{"key":"ref_26","unstructured":"(2020, February 06). BrighterBins Solution. Available online: https:\/\/www.brighterbins.com\/."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Vejlgaard, B., Lauridsen, M., Nguyen, H., Kov\u00e1cs, I.Z., Mogensen, P., and Sorensen, M. (2017, January 4\u20137). Coverage and capacity analysis of sigfox, lora, gprs, and nb-iot. Proceedings of the 2017 IEEE 85th vehicular technology conference (VTC Spring), Sydney, Australia.","DOI":"10.1109\/VTCSpring.2017.8108666"},{"key":"ref_28","first-page":"100","article-title":"Algorithm AS 136: A K-means clustering algorithm","volume":"28","author":"Hartigan","year":"1979","journal-title":"J. R. Stat. Soc. Ser. C"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Kaufman, L., and Rousseeuw, P.J. (1990). Finding Groups in Data: An Introduction to Cluster Analysis, John Wiley.","DOI":"10.1002\/9780470316801"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Al-Naffakh, N. (2016). A comprehensive evaluation of feature selection for gait recognition using smartwatches. Int. J. Inf. Secur. Res., 6.","DOI":"10.20533\/ijisr.2042.4639.2016.0080"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Al-Naffakh, N., Clarke, N., Li, F., and Haskell-Dowland, P. (2017, January 20\u201322). Unobtrusive gait recognition using smartwatches. Proceedings of the 2017 International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany.","DOI":"10.23919\/BIOSIG.2017.8053523"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Al-Naffakh, N., Clarke, N., Dowland, P., and Li, F. (2016, January 5\u20137). Activity recognition using wearable computing. Proceedings of the 2016 11th International Conference for Internet Technology and Secured Transactions (ICITST), Barcelona, Spain.","DOI":"10.1109\/ICITST.2016.7856695"},{"key":"ref_33","unstructured":"(2020, February 06). GraphHopper Solution. Available online: https:\/\/www.graphhopper.com\/."},{"key":"ref_34","unstructured":"(2020, February 06). Geocoder Solution. Available online: https:\/\/geocoder.readthedocs.io\/."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/4\/978\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T08:57:05Z","timestamp":1760173025000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/4\/978"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,12]]},"references-count":34,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2020,2]]}},"alternative-id":["s20040978"],"URL":"https:\/\/doi.org\/10.3390\/s20040978","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,12]]}}}