Multi-agent based IoT smart waste monitoring and collection architecture
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Date
2017-10Author
Likotiko, Eunice David
Nyambo, Devotha
Mwangoka, Joseph
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Show full item recordAbstract
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