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Multi-agent based IoT smart waste monitoring and collection architecture

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dc.creator Likotiko, Eunice David
dc.creator Nyambo, Devotha
dc.creator Mwangoka, Joseph
dc.date 2019-05-21T12:50:31Z
dc.date 2019-05-21T12:50:31Z
dc.date 2017-10
dc.date.accessioned 2022-10-25T09:15:54Z
dc.date.available 2022-10-25T09:15:54Z
dc.identifier DOI : 10.5121/ijcseit.2017.7501
dc.identifier http://dspace.nm-aist.ac.tz/handle/123456789/125
dc.identifier.uri http://hdl.handle.net/123456789/94685
dc.description Research Article published by International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol.7, No.5, October 2017
dc.description Solid waste management is one of the existing challenges in urban areas and it is becoming a critical issue due to rapid increase in population. Appropriate solid waste management systems are important for improving the environment and the well-being of residents. In this paper, an Internet of Things(IoT) architecture for real time waste monitoring and collection has been proposed; able to improve and optimize solid waste collection in a city. Netlogo Multi-agent platform has been used to simulate real time monitoring and smart decisions on waste management. Waste filling level in bins and truck collection process are abstracted to a multi-agent model and citizen are involved by paying the price for waste collection services. Furthermore, waste level data are updated and recorded continuously and are provided to decision algorithms to determine the vehicle optimal route for waste collection to the distributed bins in the city. Several simulation cases executed and results validated. The presented solution gives substantial benefits to all waste stakeholders by enabling the waste collection process to be more efficient
dc.format application/pdf
dc.language en_US
dc.publisher International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
dc.subject Solid Waste Management
dc.subject Multiagent Simulation
dc.subject Waste Collection
dc.title Multi-agent based IoT smart waste monitoring and collection architecture
dc.type Article


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