Reflective internet of things middleware-enabled a predictive real-time waste monitoring system

Nowadays, Urban Waste Collection process has become crucial to ensure cities’ wealth and viability. The growth of urban centers and the rapid expansion of industry led to a revision of plans and waste collection routes to increase their efficiency and effectiveness. Traditional approaches for the Vehicle Routing Problem and the Waste Collection Problem are not taking into account some factors such as the huge amount of available information produced by the Internet of Things devices. In this paper we propose a solution allowing an Internet of Things middleware to conform with reactive programming paradigm that hence will be more flexibile and adaptive for the Waste Management Problem by retrieving the best route planning using all real-time information available in a Smart City context. All gathered data stoke a predictive model used to estimate the best timing to optimize the waste collection, allowing the system to plan optimal routes accordingly to the state of bins across the city area.