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Electronics
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Wireless Powered Communications for Internet of Things
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Wireless Powered Communications for Internet of Things

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 9081

Special Issue Editors

Dr. Shimin Gong

E-Mail Website
Guest Editor
School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518107, China
Interests: Internet of Things; backscatter communications; wireless powered transfer; wireless resource optimization, machine learning in wireless systems
Special Issues, Collections and Topics in MDPI journals
Dr. Kun Zhu

E-Mail Website
Guest Editor
School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Interests: 5G/B5G; resource management; game theory and optimization; self-organization networks; green communications
Dr. Siyuan Zhou

E-Mail Website
Guest Editor
School of Computer and Information, Hohai University, Nanjing 211100, China
Interests: Internet of Vehicles; wireless powered communications; network performance analysis
Dr. Cheng Zhang

E-Mail Website
Guest Editor
Department of Mechanical Systems Engineering, College of Engineering, Ibaraki University, Ibaraki 316-8511, Japan
Interests: communication network engineering; machine control algorithm; Internet of Things; AI robot; reinforcement learning; embedded software and systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the explosive growth of wireless devices constituting the future Internet of Things (IoT), wireless power transfer (WPT) is proposed as a sustainable and cost-effective technology to supply energy and keep ubiquitous connectivity for IoT devices. One of the main challenges in wireless powered communications (WPC) is the dilemma between low efficiency in WPT and high power consumption in RF-based wireless information transmission (WIT). Hence, we are also in urgent need of more energy-efficient communication technologies that can significantly reduce power consumption. Recently, wireless backscatter communication has been introduced as a promising technology that is featured with extremely low power consumption by transmitting information in passive mode via the modulation and reflection of the ambient RF signals. Compared to the conventional active radios that operate on self-generated carrier signals, the backscatter radios consume orders of magnitude less power, enabling WPT a cost-effective and, most importantly, a feasible solution to sustain WIT for IoT devices.

The objective of this Special Issue is to explore recent advances and challenges in WPC and the emerging research with respect to the resource allocation and network optimization for a hybrid WPC system with both the active RF radios and the passive backscatter radios. Original research and review articles in this area are welcome. Potential topics include, but are not limited to the following:

  • Protocols and implementations for WPC
  • WPC in industry and healthcare monitoring
  • Resource allocation and optimization for WPC
  • Multi-antenna and intelligent reflecting surfaces for WPC
  • Wireless powered backscatter communication networks
  • Energy and information cooperation in WPC
  • Machine learning and cognitive networking for WPC
  • WPC in wireless aerial networks
  • WPC in mobile edge computing and vehicular networks
  • Robustness, reliability, and security issues in WPC

Dr. Shimin Gong
Dr. Kun Zhu
Dr. Siyuan Zhou
Dr. Cheng Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wireless powered communications
  • resource allocation and optimization
  • wireless power transfer
  • wireless backscatter communications
  • energy informatics

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Published Papers (3 papers)

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Research

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26 pages, 881 KiB  
Article
Spatial-Temporal Value-of-Information Maximization for Mobile Crowdsensing in Wireless Sensor Networks
by Xiaoling Luo, Che Chen, Wenjie Zhang, Chunnian Zeng, Chengtao Li and Jing Xu
Electronics 2022, 11(19), 3224; https://doi.org/10.3390/electronics11193224 - 8 Oct 2022
Viewed by 1580
Abstract
Mobile crowdsensing is considered as a promising technology to exploit the computing and sensing capabilities of the decentralized wireless sensor nodes. Typically, the quality of information obtained from crowdsensing is largely affected by various factors, such as the diverse requirements of crowdsensing tasks, [...] Read more.
Mobile crowdsensing is considered as a promising technology to exploit the computing and sensing capabilities of the decentralized wireless sensor nodes. Typically, the quality of information obtained from crowdsensing is largely affected by various factors, such as the diverse requirements of crowdsensing tasks, the varying quality of information across different crowd workers, and the dynamic changes of channels conditions and the sensing environment. In this paper, considering the dynamics’ of the crowd workers, we focus on a spatial-temporal crowdsensing model and aim to maximize the value of information at the point of interest, by optimizing the recruiting range and time duration for the crowd workers. In particular, the crowdsensing system includes a mobile access point (MAP) and a set of wireless sensor nodes. As the information requester, the MAP can broadcast its crowdsensing task and then estimate the value of information by collecting the responses from the sensing nodes. Each sensing node in the crowdsensing task will receive a payment from the MAP. We aim to maximize the utility of the information requester by optimizing the recruiting range and waiting time for the sensing nodes. We firstly define a set of value metrics to characterize the MAP’s value of information. The optimal recruiting range can be obtained in closed-form expressions. Furthermore, considering the aging effect, we propose a gradient-based method to maximize the spatial-temporal value of information. Specifically, we first determine the optimal recruiting time for the requester and then choose the optimal recruiting range within each time slot. Via simulation, we first compare the sum, max, and min values of information at the requester, and then verify the effectiveness of the gradient-based method to optimize the recruiting time and range to maximize the value of information. Full article
(This article belongs to the Special Issue Wireless Powered Communications for Internet of Things)
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12 pages, 922 KiB  
Article
Task Offloading in Wireless Powered Mobile Crowd Sensing: A Matching-Based Approach
by Difei Yi, Jun Li, Chengpei Tang, Ziqi Lin, Yu Han and Rui Qiu
Electronics 2022, 11(15), 2377; https://doi.org/10.3390/electronics11152377 - 30 Jul 2022
Viewed by 1702
Abstract
Mobile crowd sensing (MCS) is a new sensing paradigm that leverages participatory sensing data from mobile devices for accomplishing large-scale sensing tasks. Incentivizing device owners to contribute high-quality sensing data is a prerequisite for the success of MCS services. In this paper, we [...] Read more.
Mobile crowd sensing (MCS) is a new sensing paradigm that leverages participatory sensing data from mobile devices for accomplishing large-scale sensing tasks. Incentivizing device owners to contribute high-quality sensing data is a prerequisite for the success of MCS services. In this paper, we first propose a pre-contracting incentive mechanism that involves the participation of not only the device owners located in close proximity to Point of Interests (PoIs) but also the device owners that are going to pass through those locations. Furthermore, the quality of sensing data is guaranteed through the use of redundancy. In particular, sensing data from multiple device owners is processed and compared at an edge side (i.e., base station) so as to detect the measurement error at the proximity of data sources. Simulation results confirm that the proposed incentive mechanism is efficient in terms of improving the total utility. Full article
(This article belongs to the Special Issue Wireless Powered Communications for Internet of Things)
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Review

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28 pages, 2152 KiB  
Review
AI-Based Wormhole Attack Detection Techniques in Wireless Sensor Networks
by Maria Hanif, Humaira Ashraf, Zakia Jalil, Noor Zaman Jhanjhi, Mamoona Humayun, Saqib Saeed and Abdullah M. Almuhaideb
Electronics 2022, 11(15), 2324; https://doi.org/10.3390/electronics11152324 - 26 Jul 2022
Cited by 39 | Viewed by 5133
Abstract
The popularity of wireless sensor networks for establishing different communication systems is increasing daily. A wireless network consists of sensors prone to various security threats. These sensor nodes make a wireless network vulnerable to denial-of-service attacks. One of them is a wormhole attack [...] Read more.
The popularity of wireless sensor networks for establishing different communication systems is increasing daily. A wireless network consists of sensors prone to various security threats. These sensor nodes make a wireless network vulnerable to denial-of-service attacks. One of them is a wormhole attack that uses a low latency link between two malicious sensor nodes and affects the routing paths of the entire network. This attack is brutal as it is resistant to many cryptographic schemes and hard to observe within the network. This paper provides a comprehensive review of the literature on the subject of the detection and mitigation of wormhole attacks in wireless sensor networks. The existing surveys are also explored to find gaps in the literature. Several existing schemes based on different methods are also evaluated critically in terms of throughput, detection rate, low energy consumption, packet delivery ratio, and end-to-end delay. As artificial intelligence and machine learning have massive potential for the efficient management of sensor networks, this paper provides AI- and ML-based schemes as optimal solutions for the identified state-of-the-art problems in wormhole attack detection. As per the author’s knowledge, this is the first in-depth review of AI- and ML-based techniques in wireless sensor networks for wormhole attack detection. Finally, our paper explored the open research challenges for detecting and mitigating wormhole attacks in wireless networks. Full article
(This article belongs to the Special Issue Wireless Powered Communications for Internet of Things)
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