Convergence of Artificial Intelligence in IoT Network for the Smart City—Waste Management System

Abstract

AbstractSeveral insights are provided for Smart city strategies and development around the world. Smart city developments are meant for better reliability, security and efficiency in urban areas. On integration of artificial intelligence (AI) and Internet of Things (IoT) with Information Technology (IT), several urban cities were able to maintain and manage their water supply system, transport facility, law enforcements, colleges, schools, universities, hospitals, power plants, etc., better and in a more efficient way than before. Government was able to communicate flexibly with the public in a proficient way with the help of ICTs. As the concept of smart cities is quite new with R&D works ongoing, it is safe to say that there is no much work done in smart waste management that makes use of IoT and AI. There is a tremendous need in remediating chief environmental issues like waste collection and dumping and this in particular is considered as a significant question which necessitates academic research investigation. Put together with a combinative literature review of 34 papers, this paper provides understandings into the possibility of smart cities and linked publics in simplifying efforts taken for waste management. Thus, this paper aims to review the most appropriate and associated works done in smart waste management system and their drawbacks and the inefficiency, thereby arriving at the problem statement and multiple objectives as the solution. The chief drive of this review is to discover numerous ideas and notions in Smart city development with regard to waste management system. These data aids in predicting the upcoming trend that supports in making a waste management system model for the proliferating population using artificial intelligence (AI) and Internet of Things (IoT).KeywordsSmart citiesInternet of Things (IoT)Artificial Intelligence (AI)Waste managementSensorsData science