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Simultaneous information and energy flow for IoT Relay Systems with crowd harvesting
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Guo, Weisi, Zhou, Shengtian, Chen, Yunfei, Wang, Siyi, Chu, Xiaoli and Niu, Zhisheng (2015) Simultaneous information and energy flow for IoT Relay Systems with crowd harvesting. IEEE Communications Magazine, 54 (11). pp. 143-149. doi:10.1109/MCOM.2016.1500649CM ISSN 0163-6804.
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Official URL: http://dx.doi.org/10.1109/MCOM.2016.1500649CM
Abstract
It is expected that the number of wireless devices will grow rapidly over the next few years due to the growing proliferation of Internet-of-Things (IoT). 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 informationand-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 (QoS).
Item Type: | Journal Article | ||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
Library of Congress Subject Headings (LCSH): | Internet of things, Quality of service (Computer networks) , Wireless communication systems | ||||||
Journal or Publication Title: | IEEE Communications Magazine | ||||||
Publisher: | IEEE | ||||||
ISSN: | 0163-6804 | ||||||
Official Date: | 15 November 2015 | ||||||
Dates: |
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Volume: | 54 | ||||||
Number: | 11 | ||||||
Page Range: | pp. 143-149 | ||||||
DOI: | 10.1109/MCOM.2016.1500649CM | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 17 June 2016 | ||||||
Date of first compliant Open Access: | 28 November 2016 |
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