This literature review explores the application of mobile crowd sensing for performance assessment of the Internet of Things (IoT) in smart cities. It examines various research papers that propose different techniques, methods, and frameworks for leveraging crowd-sourced data from smartphones to evaluate the performance of IoT infrastructure and applications. The review analyzes the advantages, disadvantages, and limitations of each approach, highlighting key impact factors and potential areas for improvement. The goal is to provide a comprehensive understanding of the current state-of-the-art in mobile crowd sensing for IoT performance assessment in smart cities, identifying emerging trends and future research directions.
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