For decades the core processes of collecting waste have been unchanged. Through new IoT-technologies, advances in sensors, and data transfer technologies, data-driven smart waste collection processes will replace old inefficient collection processes. Causing a shift from fix collection intervals to collection on demand, supported by smart algorithms and innovative web-applications. However, implementing such ideas come along with some almost insurmountable challenges related to wireless data transfer, battery lifetime and IoT infrastructure. Therefore, the question arises of how to implement IoT solutions in such complex and challenging environments. In order to contribute to the existing research about smart cities and autonomous IoT devices, we implemented smart devices in glass containers, measuring filling level over several months. The research study's outcomes are test results, data analysis and a prototype implementation for a reengineered waste collection process. Furthermore, we identified main challenges and key issues which obstruct the implementation and spread of such smart city applications.
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