@inproceedings{scholars3306,
             doi = {10.1109/RSM.2013.6706495},
            year = {2013},
            note = {cited By 4; Conference of 2013 IEEE Regional Symposium on Micro and Nano Electronics, RSM 2013 ; Conference Date: 25 September 2013 Through 27 September 2013; Conference Code:102452},
           pages = {151--154},
           title = {Frequency dependence of quality factor in vibration energy harvesting},
         address = {Langkawi},
         journal = {Proceedings - RSM 2013: 2013 IEEE Regional Symposium on Micro and Nano Electronics},
        keywords = {Average power; Effective management; Environmental vibrations; High quality factors; Low-frequency vibration; Quality factors; Vibration energy harvesters; Vibration energy harvesting, Electronic commerce; Sensor nodes; Ubiquitous computing, Energy harvesting},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893548653&doi=10.1109\%2fRSM.2013.6706495&partnerID=40&md5=69666570680dfa4858470d88f00934cb},
        abstract = {With the fast development in the ubiquitous computing and wireless sensing technologies, a new era of smart cities is evolving. Future smart cities will gather sensory data, needed for effective management of the city, using wireless sensor networks. Exhaustive power sources such as batteries need periodic replacement and hence increase the cost of ownership of wireless sensor network. On the other hand, renewable vibration energy is found in abundance in many target environments of wireless sensor network, which can be harvested to power up the sensor node. The average power of a vibration energy harvester strongly depends on the frequency of vibration and quality factor of the harvester. Unfortunately, most of the environmental vibrations occur in a low frequency range of few tens of Hz. This paper analytically investigates the challenges in designing a low frequency energy harvester with a high quality factor. {\^A}{\copyright} 2013 IEEE.},
          author = {Ashraf, K. and Khir, M. H. M. and Dennis, J. O. and Baharudin, Z.},
            isbn = {9781479911837}
}