Internet of Things (IoT) is a technology in computing paradigm aimed at connect low processing smart devices. This information can be shared, processed and analyzed for improving the performance of these devices. With the advent of smartphones, cloud computing and edge computing, the processing, storage and lightweight analytics capability of IoT and smart cities improved tremendously. The number of devices in a IoT system keeps changing. Therefore, the vendor-based approach for development of smart devices often leads to compatibility issues. In order to address these challenges and to ensure a smooth connectivity of these devices, vendor-agnostism approaches can be adopted through open source software and software-defined networks (SDN) which can use isolation approaches for improved management and coordination of a device’s data and network planes. 
IoT faces numerous challenges. It includes the consideration to completely utilize edge computing for IoT analytics. However, most of the computation resources in the edge computing are dependent on energy-hungry mobile devices. This leads to the credibility of the IoT technology in cases where the issue of lack of sufficient computational processing might lead to lower network resource availability. A detailed study of systems, networks, and structures of IoT-enabled ecosystem is needed to exploit its potential benefits. However, there are several issues related to the data acquisition, transmission, storage and processing, analytics and management in smart cities. Therefore, an extensive research is needed to identify and overcome the limitations in service quality and cost-effectiveness related constraints in smart cities. The aim of the seminar is to provide a foundation to researchers for sharing their experiences in defining the issues, challenges, and solutions for addressing IoT and related technologies.