Energy Efficiency Analysis of ICN Assisted 5G IoT System
Joint Authors
Zhang, Di
Zhou, Zhenyu
Zhu, Zhengyu
Mumtaz, Shahid
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-26
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Other than separately investing the energy efficiency (EE) merits of information-centric networking’s (ICN’s) caching and sharing (CS) mechanism in wireless communications, here we comprehensively compare the EE performances of ICN’s CS mechanism in different scenarios.
A modified system model is first proposed while introducing the CS mechanism into the in-network router, base station (BS), and neighboring user sides.
Afterwards, the system achievable sum rate as well as the power consumptions in wireless and wired sections is investigated.
The EE performances of different scenarios are finally obtained by dividing the achievable sum rate by the consumed power.
While comparing the three scenarios, numerical results demonstrate that the optimal place to cache the content is mainly determined by the distance and hub number of the core routers that passed.
American Psychological Association (APA)
Zhang, Di& Zhou, Zhenyu& Zhu, Zhengyu& Mumtaz, Shahid. 2017. Energy Efficiency Analysis of ICN Assisted 5G IoT System. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1206072
Modern Language Association (MLA)
Zhang, Di…[et al.]. Energy Efficiency Analysis of ICN Assisted 5G IoT System. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1206072
American Medical Association (AMA)
Zhang, Di& Zhou, Zhenyu& Zhu, Zhengyu& Mumtaz, Shahid. Energy Efficiency Analysis of ICN Assisted 5G IoT System. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1206072
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1206072