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As wearable microelectronics are becoming ubiquitous, there is a growing interest in replacing batteries with a means of harnessing power from the user's environment via embedded systems. Efforts have been made to prolong the harvester's operational lifetime, overcoming energy dissipation, lowering resonant frequency, attaining multi-resonant states, and widening the operating frequency bandwidth of the biomechanical energy harvesters. Such technological advances mean harvesting energy is a viable solution for sustainably powering wearable electronics for health and wellbeing applications, such as continuous medical health monitoring, remote sensing, and motion tracking.

The energy efficiency paradigm associated with Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) is a major bottleneck for the development of related technologies. To overcome this limitation, the design and development of efficient and high-performance energy harvesting systems for WSN and IoT environments are being explored.