IoT communications network for wireless power transfer system state estimation and stabilization

Rana, Md M., and Xiang, Wei (2018) IoT communications network for wireless power transfer system state estimation and stabilization. IEEE Internet of Things Journal, 5 (5). pp. 4142-4150.

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Abstract

Wireless energy harvesting has emerged as an appealing solution to prolong the lifespan of energy-constrained wireless networks and been regarded as a main functional unit for almost all perpetual communications. This paper proposes a channel coding-based Internet of Things communication network, and state estimation as well as stabilization algorithms for wireless power transfer systems. After modeling the energy harvesting module like wireless energy transfer systems as a state-space framework, Web-enabled smart sensors are deployed to obtain measurements. The sensing information is transmitted to the nearby base station for collection and digital communication under the condition of packet losses. A recursive systematic convolutional code is used to add redundancy into the quantize system states. After digital modulation, the signal is transmitted to a control center for system state estimation and stabilization. The optimal gain of the state estimation scheme is determined after minimizing the mean squared errors. Afterward, a stabilization algorithm is designed considering packet losses in the communication networks using the semidefinite programming approach. Furthermore, the convergence of the developed estimation algorithm is proved. Numerical simulation results demonstrate, considering packet loss, sensor faults, disturbances, and delay into account, that the proposed algorithms can estimate and stabilize the system states within a short period of time.

Item ID: 56503
Item Type: Article (Research - C1)
ISSN: 2327-4662
Keywords: communication network, energy harvesting, feedback controller, Internet of Things (IoT), packet losses, semidefinite programming, wireless power transfer (WPT) systems
Copyright Information: © 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Funders: National Natural Science Foundation of China (NSFC)
Projects and Grants: NSFC grant 61628102
Date Deposited: 05 Dec 2018 07:48
FoR Codes: 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090607 Power and Energy Systems Engineering (excl Renewable Power) @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890199 Communication Networks and Services not elsewhere classified @ 100%
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