TY - JOUR
T1 - Simultaneous Information and Energy Flow for IoT Relay Systems with Crowd Harvesting
AU - Guo, Weisi
AU - Zhou, Sheng
AU - Chen, Yunfei
AU - Wang, Siyi
AU - Chu, Xiaoli
AU - Niu, Zhisheng
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11
Y1 - 2016/11
N2 - It is expected that the number of wireless devices will grow rapidly over the next few years due to the growing proliferation of the Internet of Things. In order to improve the energy efficiency of information transfer between small devices, we review state-of-the-art research in simultaneous wireless energy and information transfer, especially for relay-based IoT systems. In particular, we analyze simultaneous information and energy transfer from the source node, and the design of time-switching and power-splitting operation modes, as well as the associated optimization algorithms. We also investigate the potential of crowd energy harvesting from transmission nodes that belong to multiple radio networks. The combination of source and crowd energy harvesting can greatly reduce the use of battery power and increase the availability and reliability for relaying. We provide insight into the fundamental limits of crowd energy harvesting reliability based on a case study using real city data. Furthermore, we examine the optimization of transmissions in crowd harvesting, especially with the use of node collaboration while guaranteeing quality of service.
AB - It is expected that the number of wireless devices will grow rapidly over the next few years due to the growing proliferation of the Internet of Things. In order to improve the energy efficiency of information transfer between small devices, we review state-of-the-art research in simultaneous wireless energy and information transfer, especially for relay-based IoT systems. In particular, we analyze simultaneous information and energy transfer from the source node, and the design of time-switching and power-splitting operation modes, as well as the associated optimization algorithms. We also investigate the potential of crowd energy harvesting from transmission nodes that belong to multiple radio networks. The combination of source and crowd energy harvesting can greatly reduce the use of battery power and increase the availability and reliability for relaying. We provide insight into the fundamental limits of crowd energy harvesting reliability based on a case study using real city data. Furthermore, we examine the optimization of transmissions in crowd harvesting, especially with the use of node collaboration while guaranteeing quality of service.
UR - http://www.scopus.com/inward/record.url?scp=84999232314&partnerID=8YFLogxK
U2 - 10.1109/MCOM.2016.1500649CM
DO - 10.1109/MCOM.2016.1500649CM
M3 - Article
AN - SCOPUS:84999232314
SN - 0163-6804
VL - 54
SP - 143
EP - 149
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 11
M1 - 7744827
ER -