Publication: Hybrid energy harvester for internet of medical things application
| datacite.subject.fos | oecd::Engineering and technology | |
| dc.contributor.author | Chong Yung Wey | |
| dc.date.accessioned | 2025-05-08T02:49:10Z | |
| dc.date.available | 2025-05-08T02:49:10Z | |
| dc.date.issued | 2023-10-01 | |
| dc.description.abstract | The rapid advancement of wearable sensors, low-power integrated circuits, and wireless communication technologies has catalysed a profound paradigm shift in healthcare technology. This transformation is exemplified by the emergence of Internet of Medical Things (IoMT). Despite its transformative potential, the IoMT grapples with a pivotal challenge: ensuring a dependable power supply and adeptly managing power consumption in wearable devices during extended usage. Hybrid energy harvesting emerges as a compelling solution to ensure continuous power for these sensor nodes. However, developing effective power management schemes for diverse energy sources poses a substantial hurdle, owing to the distinct energy characteristics inherent in AC/DC and high/low voltage requirements. This thesis proposed eMeD, an embedded hybrid energy harvester designed for wearable systems. Uniquely designed to enhance overall energy efficiency and optimize energy extraction from ambient sources, eMeD integrates a hybrid photovoltaic-radio frequency (RF) energy harvester. This serves as a sustainable power source, extending device lifespan and reducing battery dependence. Experiment shows that the average current consumption of the wearable system is 6.46 mA during sleep mode and 18.6 mA during transmit mode. The solar cell achieves an output power of 0.044 mW/cm2, while the RF module efficiently captures 66.9% of the incident power. The integration of the hybrid energy harvester, wireless sensor network, and event-driven sensor management algorithm makes it suitable for IoMT systems. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/21541 | |
| dc.language.iso | en | |
| dc.title | Hybrid energy harvester for internet of medical things application | |
| dc.type | Resource Types::text::thesis::doctoral thesis | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |