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Joint sparse observation and coding design for multiple phenomena monitoring

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Han, Chengcheng, Chen, Li, Zhao, Nan, Chen, Yunfei and Yu, F. Richard (2021) Joint sparse observation and coding design for multiple phenomena monitoring. IEEE Transactions on Communications, 69 (10). pp. 6987-7002. doi:10.1109/TCOMM.2021.3093331 ISSN 0090-6778.

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Official URL: http://dx.doi.org/10.1109/TCOMM.2021.3093331

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Abstract

Energy-efficient designs play an important role in the Internet of Things (IoT) that monitors multiple phenomena, due to the limited power supply and complicated observation. In this paper, taking into account the power consumptions of observation, coding, and communication, we propose a joint sparse observation and coding scheme for energy-efficient monitoring of multiple phenomena using IoT. Through the analysis of outage performance, we find that the sparse observation and coding scheme can achieve the performance of the full observation scheme in which all nodes observe all phenomena with lower power consumption due to the dynamic and selective observation and coding. With the derived achievable rates and network power consumption, we study the trade-off between achievable rates and network power consumption that is determined by both the observation matrix and the coding matrix. For given rate constraints, we propose an optimization problem to minimize the network power consumption by jointly designing the observation and coding matrices. To solve this NP-hard problem efficiently, we propose a low-complexity algorithm with the convex-concave procedure. Moreover, to improve performance in high noise environment, we adopt collaboration among nodes to suppress observation noises and equalize bad observations by utilizing observation diversity. Finally, simulation results illustrate the superior performance of the proposed schemes.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Internet of things, Energy conservation, Digital communications, Coding theory, Sparse matrices -- Data processing
Journal or Publication Title: IEEE Transactions on Communications
Publisher: IEEE
ISSN: 0090-6778
Official Date: October 2021
Dates:
DateEvent
October 2021Published
29 June 2021Available
22 June 2021Accepted
Volume: 69
Number: 10
Page Range: pp. 6987-7002
DOI: 10.1109/TCOMM.2021.3093331
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 2 July 2021
Date of first compliant Open Access: 5 July 2021
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
62071445[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
WK3500000007Fundamental Research Funds for the Central Universitieshttp://dx.doi.org/10.13039/501100012226
YD3500002001Fundamental Research Funds for the Central Universitieshttp://dx.doi.org/10.13039/501100012226

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