Waste management is one of the crucial issues in the creation of smart cities. Because of population growth, keeping urban areas clean is a challenge. The Internet of things (IoT) has played a vital role in urban computing because it facilitates the collection, integration, and processing of various types of information. Thus, the aim of this research is to develop an Internet of Things-Based Urban Waste Management System. IoT devices hav been used to monitor human activity and to support waste management. Information about a city was collected and processed in a cuckoo search-optimized long short-term recurrent neural network. The network facilitated the analysis of the waste type, truck size, and waste source. This information alerted the waste management centers so that the appropriate actions could be taken. The efficiency of this IoT-based waste management process was evaluated through an experimental analysis. The system was found to ensure that the bins were processed on a priority basis with minimum error (0.16) and maximum accuracy (98.4%) in the minimum amount of time (15 min).

废物管理是创建智慧城市的关键问题之一。由于人口增长，保持市区清洁是一个挑战。物联网（IoT）在城市计算中起着至关重要的作用，因为它促进了各种信息的收集，集成和处理。因此，本研究的目的是开发基于物联网的城市废物管理系统。物联网设备已用于监视人类活动并支持废物管理。在布谷鸟搜索优化的长期短期递归神经网络中收集并处理有关城市的信息。该网络促进了废物类型，卡车尺寸和废物来源的分析。该信息提醒废物管理中心，以便可以采取适当的措施。通过实验分析评估了这种基于物联网的废物管理流程的效率。发现该系统可确保在最短的时间内（15分钟）以最小的错误（0.16）和最大的准确性（98.4％）优先处理垃圾箱。