The development of Mobile Cyber-Physical Systems (MCPS) is a promising research and development direction for many industries, such as manufacturing, healthcare, home automation, and many others. That is why a prototype MCPS based on a smartphone has been developed to collect, process, and transmit data from various devices and sensors in real-time, anywhere. The architecture of a mobile cyber-physical system for monitoring climatic parameters with telegram notifications has been designed. An algorithm for intelligent analysis and optimization of data transmission processes has been proposed for the developed MCPS prototype. The advantage of the developed system is the ability to determine the priority of monitoring parameters, which allows for a quick response to critical temperature changes at the object where the measurements are taken. Additionally, a unique method for measuring end-to-end data transmission delay using a timestamp in the packet header metadata has been implemented. This method enables the determination of the processing time of each component of the MCPS and, in case of exceeding the norms, automatically notifies about the necessary control decisions. Supporting such a method in MCPS is a particularly effective solution for monitoring the quality of real-time service delivery in critical infrastructure objects. Based on the conducted research, it has been established that the proposed algorithm for intelligent data analysis and optimization has reduced the number of messages by 3 times and the amount of transmitted information by 2.3 times. In the future, the developed system, in combination with artificial intelligence, will ensure reliable and high-quality data transmission even in unpredictable situations, making it a promising solution for improving the quality of life and the efficiency of smart infrastructures in various fields.
 Y. Guo, X. Hu, B. Hu, J. Cheng, M. Zhou and R. Y. K. Kwok, “Mobile Cyber Physical Systems: Current Challenges and Future Networking Applications”, in IEEE Access, Vol. 6, pp. 12360–12368, 2018. DOI: 10.1109/ACCESS.2017.2782881.
 Y. Zhou, F. R. Yu, J. Chen and Y. Kuo, “Cyber-Physical-Social Systems: A State-of-the-Art Survey, Challenges and Opportunities”, in IEEE Communications Surveys & Tutorials, Vol. 22, No. 1, pp. 389–425, Firstquarter, 2020. DOI: 10.1109/COMST.2019.2959013.
 E. Pop, D. Gîfu and M. A. Moisescu, “Cyber-Physical Systems Based Business Models”, 2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), Cluj-Napoca, Romania, 2022, pp. 1–6. DOI: 10.1109/AQTR55203.2022.9802061.
 S. Suganyadevi, S. S. Priya, R. Menaha, S. Sathiya, P. Jha and S. B. S, “Smart Healthcare in IoT using Convolutional Based Cyber Physical System”, 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), Mysuru, India, 2022, pp. 1–6. DOI: 10.1109/MysuruCon55714.2022.9972679.
 H.-C. Huang, C.-H. Tsai, and H.-C. Lin, “Development of 5G cyber-physical production system”, Int. J. Networked Distrib. Comput., 2022.
 H. Varshney, A. S. Allahloh and M. Sarfraz, “IoT Based eHealth Management System Using Arduino and Google Cloud Firestore”, 2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON), Aligarh, India, 2019, pp. 1–6. DOI: 10.1109/UPCON47278.2019.8980238.
 C. Xie, “Building a cyber-physical system for developing IoT apps”, Medium, 21-Feb-2019 [Online]. Available: https://charlesxie.medium.com/building-a-cyber-physical-system-to-simpli.... [Accessed: 15-Mar-2023].
 Z.-Y. Bai and X.-Y. Huang, “Design and implementation of a cyber physical system for building smart living spaces”, Int. J. Distrib. Sens. Netw., Vol. 8, No. 5, p. 764186, 2012.
 TensorFlow lite for android” , TensorFlow. [Online]. Available: https://www.tensorflow.org/lite/android. [Accessed: 15-Mar-2023].
 M. Beshley, N. Kryvinska, H. Beshley, O. Kochan, and L. Barolli, “Measuring End-to-End Delay in Low Energy SDN IoT Platform”, Computers, Materials & Continua, Vol. 70, No. 1, pp. 19–41, 2021.