Towards a Real IoT-Based Smart Meter System Anas Bin Rokan and Yasser Kotb Abstract Smart grid grants a more reliable and cost-effective electricity system for transporting electricity from power stations to homes, business and industry. It has effectively and efficiently evolved into a smarter system of grid connecting peers and devices in an intelligent manner. In this paper, we give an overview about the smart grid and smart meter technologies, what are the functionalities of those systems, and then propose and implement a new prototype of such smart grid system in order to show their benefits in different domains. The proposed prototype system is a device with relative similarity to the smart meter contains two different sensor modules that are constructed to measure electricity voltage, current, and power. The data obtained from these sensors transmit to a Microcontroller Unit to process it. Two different platforms were integrated to send and receive data from and to the server. The data displayed on an online platform that is also acted as a control panel page for connecting devices. The effects on the current, voltage and power meter were then compared remotely. Additionally, an SMS would be sent to the consumer’s mobile device to notify them as to when the high load has been reached. The results gained from the proposed prototype show that the real smart meters will have great benefits in different domains such as environmental, economic, and benefits for the service providers (utility) and the customers. Keywords Smart meter · Smart grid · ESP8266 · Arduino A. Bin Rokan · Y. Kotb (B ) College of Computer and Information Sciences, Information Systems Department, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia e-mail: ykkotb@imamu.edu.sa A. Bin Rokan e-mail: aabinrokan@sm.imamu.edu.sa Y. Kotb Computer Science Division, Department of Mathematics, Faculty of Science, Ain Shams University, Cairo, Egypt © Springer Nature Singapore Pte Ltd. 2020 A. K. Luhach et al. (eds.), First International Conference on Sustainable Technologies for Computational Intelligence, Advances in Intelligent Systems and Computing 1045, https://doi.org/10.1007/978-981-15-0029-9_11 139