## 1 Introduction
The authors of [PERSON] _et al._ (2018) introduced a self-powered system designed to measure power directly from the tire, subsequently supplying the required energy for a wireless sensor system embedded within the tire. The authors of [PERSON] _et al._ (2018) addressed the topic of energy harvesting, examining its scopes, challenges, and various approaches for use as an alternative energy source and providing a more reliable power supply for wireless sensing systems used in remote and inaccessible areas. In our previous works [PERSON] _et al._ (2018); [PERSON] _et al._ (2018); [PERSON] _et al._ (2018), we introduced an innovative vibration-based energy harvester design and investigated various methods to enhance the system's frequency adaptability and broaden its harvesting bandwidth. Furthermore, in a subsequent study [PERSON] _et al._ (2018); [PERSON] _et al._ (2018), we presented optimized iterations of our harvester design and conducted experimental demonstrations that showcased enhanced performances. The development of autonomous and wireless sensor nodes is inherently application-dependent due to their interdisciplinary nature. Consequently, at the time of conducting this research, there was a limited body of work dedicated to the development of autonomous and wireless sensor nodes. The literature on utilizing energy harvesting to power wireless sensor nodes primarily focused on demonstrating the potential of harvested power as a viable energy source. However, these studies often lacked detailed insights into the practical integration of such systems into real-life industrial applications. A notable contribution of our present work lies in conducting a comprehensive investigation and characterization of the entire system, encompassing its final implementation tailored to specific applications and the available power resources. A key novelty is the proposal of a protocol for the practical implementation of the final system. Unlike previous studies, we delve into the intricacies of integrating these systems into real-world industrial scenarios. Furthermore, our research goes beyond showcasing the potential of harvested power, addressing the critical aspect of ensuring the wireless operation of the system. We systematically evaluate the system's performance under various worst-case scenarios, providing a thorough understanding of its limitations in practical applications. In summary, our paper extends the current literature dealing with autonomous and wireless sensor nodes by offering a detailed exploration of system development, emphasizing real-life industrial applications, and proposing a robust protocol for implementation. Additionally, our study sheds light on the challenges and limitations of employing energy harvesting in ensuring the wireless operation of such systems, enhancing the practical relevance of the research in this domain. We explore various possibilities for establishing an ultra-low-power sensor node designed to capture multiple aspects of the surrounding environment. Specifically, it is tasked with monitoring ambient temperature, air pressure, environmental humidity, and the levels of Total Volatile Organic Compounds (VOCs), which serve as indicators of air quality. The gathered data are wirelessly transmitted to a central host device or server, forming a robust and dependable network. This network serves a crucial role in structural health monitoring, as the aforementioned factors can significantly impact the health and performance of structures. On the sensing and data acquisition side of the system, we require sensors themselves, either integrated into a single package or distributed across multiple packages. Additionally, an Analog-to-Digital Converter (ADC) is employed to convert these analog data into digital numeric values. A crucial component of this process is a small digital computing processor, typically referred to as a microcontroller, which processes the data into a meaningful format.