Wireless Power Transfer for Large-scale Sensor Networks
The network lifetime of wireless sensor network is constrained by the limited energy storage and costly battery replacement at the distributed small-size sensor nodes (SNs). The recent development of wireless power transfer (WPT) technology provides a potential way to prolong the network lifetime in a sustainable and undisruptive manner by charging SNs via electromagnetic waves. Since the RF energy fades rapidly over distance, it is more energy efficient to charge SNs directionally via energy beamforming. In this talk, we aim at tackling two challenges in directional WPT design for large networks: (i) how to adapt the energy beamforming strategy of the energy transmitters to the random locations of SNs, given a tradeoff between the radiation intensity of energy beams and the number of SNs to be charged; (ii) how to analyse the aggregate received power from all energy transmitters in the network at a typical SN, where the radiation intensity and directions vary across transmitters. Finally, we show that the directionally WPT with energy beamforming can significantly improve the energy transfer efficiency in large sensor network compared with the traditional omnidirectional WPT.
Biography: Dr. Zhe Wang received her PhD degree in Electrical Engineering from The University of New South Wales, Sydney, Australia, in 2014. She was a visiting student at the Hong Kong University of Science and Technology in 2011. She was a Research Fellow with Pillar of Engineering Systems and Design, Singapore University of Technology and Design, during 2014-2015. From 2015, she has been a Research Fellow with the Department of Electrical and Electronic Engineering, The University of Melbourne, Australia. Her current research interests include cognitive radio, wireless power transfer networks, cooperative communications, and stochastic-geometric analysis for wireless networks.