Optimal Resource Optimization for Cluster-Based Energy-Efficient Cognitive IoT

Xin Liu; Min Jia; Zhenyu Na

doi:10.1007/978-3-030-19156-6_50

Optimal Resource Optimization for Cluster-Based Energy-Efficient Cognitive IoT

Xin Liu^*
, Min Jia
, Zhenyu Na

^*Corresponding author for this work

Dalian University of Technology
School of Electronics and Information Engineering, Harbin Institute of Technology
Dalian Maritime University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, a cluster-based energy-efficient Cognitive Internet of Things (CIoT) is proposed, which can harvest the radio frequency (RF) energy of the primary user (PU) to supply energy consumption of spectrum sensing. A joint optimization problem of time and node is presented to maximize the spectrum access probability of the CIoT. The simulations show that there are optimal resource allocations to improve both spectrum efficiency and energy efficiency of CIoT.

Original language	English
Title of host publication	Wireless and Satellite Systems - 10th EAI International Conference, WiSATS 2019, Proceedings
Editors	Min Jia, Qing Guo, Weixiao Meng
Publisher	Springer Verlag
Pages	532-540
Number of pages	9
ISBN (Print)	9783030191559
DOIs	https://doi.org/10.1007/978-3-030-19156-6_50
State	Published - 2019
Externally published	Yes
Event	10th EAI International Conference on Wireless and Satellite Systems, WiSATS 2019 - Harbin, China Duration: 12 Jan 2019 → 13 Jan 2019

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	281
ISSN (Print)	1867-8211

Conference

Conference	10th EAI International Conference on Wireless and Satellite Systems, WiSATS 2019
Country/Territory	China
City	Harbin
Period	12/01/19 → 13/01/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

CIoT
Cluster
Energy harvesting
Joint optimization

Access to Document

10.1007/978-3-030-19156-6_50

Cite this

Liu, X., Jia, M., & Na, Z. (2019). Optimal Resource Optimization for Cluster-Based Energy-Efficient Cognitive IoT. In M. Jia, Q. Guo, & W. Meng (Eds.), Wireless and Satellite Systems - 10th EAI International Conference, WiSATS 2019, Proceedings (pp. 532-540). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 281). Springer Verlag. https://doi.org/10.1007/978-3-030-19156-6_50

Liu, Xin ; Jia, Min ; Na, Zhenyu. / Optimal Resource Optimization for Cluster-Based Energy-Efficient Cognitive IoT. Wireless and Satellite Systems - 10th EAI International Conference, WiSATS 2019, Proceedings. editor / Min Jia ; Qing Guo ; Weixiao Meng. Springer Verlag, 2019. pp. 532-540 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{8ed0b89ad9dc45b5be14691b346480a3,

title = "Optimal Resource Optimization for Cluster-Based Energy-Efficient Cognitive IoT",

abstract = "In this paper, a cluster-based energy-efficient Cognitive Internet of Things (CIoT) is proposed, which can harvest the radio frequency (RF) energy of the primary user (PU) to supply energy consumption of spectrum sensing. A joint optimization problem of time and node is presented to maximize the spectrum access probability of the CIoT. The simulations show that there are optimal resource allocations to improve both spectrum efficiency and energy efficiency of CIoT.",

keywords = "CIoT, Cluster, Energy harvesting, Joint optimization",

author = "Xin Liu and Min Jia and Zhenyu Na",

note = "Publisher Copyright: {\textcopyright} 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 10th EAI International Conference on Wireless and Satellite Systems, WiSATS 2019 ; Conference date: 12-01-2019 Through 13-01-2019",

year = "2019",

doi = "10.1007/978-3-030-19156-6\_50",

language = "英语",

isbn = "9783030191559",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer Verlag",

pages = "532--540",

editor = "Min Jia and Qing Guo and Weixiao Meng",

booktitle = "Wireless and Satellite Systems - 10th EAI International Conference, WiSATS 2019, Proceedings",

address = "德国",

}

Liu, X, Jia, M & Na, Z 2019, Optimal Resource Optimization for Cluster-Based Energy-Efficient Cognitive IoT. in M Jia, Q Guo & W Meng (eds), Wireless and Satellite Systems - 10th EAI International Conference, WiSATS 2019, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 281, Springer Verlag, pp. 532-540, 10th EAI International Conference on Wireless and Satellite Systems, WiSATS 2019, Harbin, China, 12/01/19. https://doi.org/10.1007/978-3-030-19156-6_50

Optimal Resource Optimization for Cluster-Based Energy-Efficient Cognitive IoT. / Liu, Xin; Jia, Min; Na, Zhenyu.
Wireless and Satellite Systems - 10th EAI International Conference, WiSATS 2019, Proceedings. ed. / Min Jia; Qing Guo; Weixiao Meng. Springer Verlag, 2019. p. 532-540 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 281).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimal Resource Optimization for Cluster-Based Energy-Efficient Cognitive IoT

AU - Liu, Xin

AU - Jia, Min

AU - Na, Zhenyu

PY - 2019

Y1 - 2019

N2 - In this paper, a cluster-based energy-efficient Cognitive Internet of Things (CIoT) is proposed, which can harvest the radio frequency (RF) energy of the primary user (PU) to supply energy consumption of spectrum sensing. A joint optimization problem of time and node is presented to maximize the spectrum access probability of the CIoT. The simulations show that there are optimal resource allocations to improve both spectrum efficiency and energy efficiency of CIoT.

AB - In this paper, a cluster-based energy-efficient Cognitive Internet of Things (CIoT) is proposed, which can harvest the radio frequency (RF) energy of the primary user (PU) to supply energy consumption of spectrum sensing. A joint optimization problem of time and node is presented to maximize the spectrum access probability of the CIoT. The simulations show that there are optimal resource allocations to improve both spectrum efficiency and energy efficiency of CIoT.

KW - CIoT

KW - Cluster

KW - Energy harvesting

KW - Joint optimization

UR - https://www.scopus.com/pages/publications/85065916505

U2 - 10.1007/978-3-030-19156-6_50

DO - 10.1007/978-3-030-19156-6_50

M3 - 会议稿件

AN - SCOPUS:85065916505

SN - 9783030191559

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 532

EP - 540

BT - Wireless and Satellite Systems - 10th EAI International Conference, WiSATS 2019, Proceedings

A2 - Jia, Min

A2 - Guo, Qing

A2 - Meng, Weixiao

PB - Springer Verlag

T2 - 10th EAI International Conference on Wireless and Satellite Systems, WiSATS 2019

Y2 - 12 January 2019 through 13 January 2019

ER -

Liu X, Jia M, Na Z. Optimal Resource Optimization for Cluster-Based Energy-Efficient Cognitive IoT. In Jia M, Guo Q, Meng W, editors, Wireless and Satellite Systems - 10th EAI International Conference, WiSATS 2019, Proceedings. Springer Verlag. 2019. p. 532-540. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-19156-6_50

Optimal Resource Optimization for Cluster-Based Energy-Efficient Cognitive IoT

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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