Abstract
Tracking and monitoring system using radio frequency identification (RFID) have gained a lot of improvements especially for applications that need automation with reduction in human intervention and become more interesting nowadays with the increasing market demand for internet of things (IoT) technologies. The objective of this study is to improve the machine-to-machine (M2M) communication using active RFID with wireless sensor networks (WSNs) with heterogeneous data transfer (regardless of power meter type) for monitoring and identification of household electrical consumption. M2M is a popular technology and has become a part of our daily life. WSN through ZigBee technology is applied to monitor data and to read the load consumption from the electrical household power meter by embedding a tag module into the meter. In-house built-in tag was embedded into an electrical power meter with a power management circuit communicating to a reader at an RF signal of 2.45 GHz based on the star network topology with the sleep mode function. The experimental results indicated that the electrical power meters with embedded tags successfully worked wirelessly with acceptable mean value of electrical consumption difference in Watts more than those without tags (standalone meter), which is in the range of 2.44 W to 2.5 W based on 10-hour measurements.
Highlights
New technologies have become very useful and important in our daily life, and they were made easier and more manageable with their low cost, as well as their ability to reduce manpower requirement
The aims of this research are as follows: to develop an M2M communication system using radio frequency identification (RFID) system concept for household power meter monitoring, to study the performance of the proposed household electrical power meters with embedded active RFID tags based on wireless sensor networks (WSNs) platform in comparison to standalone design, and to analyze the power consumption of the embedded power meter with RFID tags under the same load for characterization
This research used an active RFID tag embedded into the power meter to monitor the value on real-time function and to read the electrical power meter using the star network topology based on the sleeping-mode function
Summary
New technologies have become very useful and important in our daily life, and they were made easier and more manageable with their low cost, as well as their ability to reduce manpower requirement. Obtaining higher system reliability is an important objective. A growing interest in sensor application has created the need for protocols and algorithms in large-scale self-organizing ad hoc network that consists of hundreds or thousands of nodes. In the past decades, WSNs have been the subject of considerable research because of their potential for civilian and military applications and their applicability to M2M networks. WSNs play an important role in M2M communication as they are the key components. Sensor networks are sometimes referred to as M2M networks [1, 2]
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