Metropolitan cities often experience waste collection challenges due to ineffective methods of collection. This paper described criteria and an approach for efficient decision-making for waste collection that will make use of data generated by IoT-enabled objects. This implies taking into account multi-objective goals in the collection process while dealing with complexities such as data loss during IoT based data collection. Understanding current decision-making algorithms highlights the deeper insight required for IoT based decision-making algorithms. There is a need for decision-making algorithms to be dynamic so that they can address different levels of data loss inherent in IoT data collection. This paper presents the criteria to be considered and a model for smarter decisions in the smart city as applied to waste collection.
Reference:
Manqele, L. et al. 2017. Multi-objective decision-making framework for effective waste collection in smart cities. Global Wireless Summit (GWS 2017), 15-18 October 2017, Cape Town, South Africa
Manqele, L., Adeogun, R., Dlodlo, M., & Coetzee, L. (2017). Multi-objective decision-making framework for effective waste collection in smart cities. IEEE. http://hdl.handle.net/10204/10127
Manqele, Lindelweyizizwe, R Adeogun, M Dlodlo, and Louis Coetzee. "Multi-objective decision-making framework for effective waste collection in smart cities." (2017): http://hdl.handle.net/10204/10127
Manqele L, Adeogun R, Dlodlo M, Coetzee L, Multi-objective decision-making framework for effective waste collection in smart cities; IEEE; 2017. http://hdl.handle.net/10204/10127 .
Copyright: 2017 IEEE. Due to copyright restrictions, the attached PDF file contains the accepted version of the paper. For access to the published item, please consult the publisher's website.