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Sustainable Internet of Things Empowered by Cognitive Radio Sensor Network

A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: closed (30 June 2019) | Viewed by 3282

Special Issue Editors


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Guest Editor
School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK
Interests: wireless sensor and actuator networks; body area networks; internet of things
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Division of Electrical & Computer Engineering, School of Electrical Engineering & Computer Science, Louisiana State University, Baton Rouge, LA 70803-5901, USA
Interests: wireless sensor networks; cognitive radio networks; physical layer security; resource allocation in wireless networks; communication theory; digital signal processing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Instituto de Telecomunicações, Universidade de Aveiro, Aveiro, Portugal
Interests: vehicular communications; dependable systems; real-time communications; fault tolerance; intelligent transportation systems; distributed embedded systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Mexico
Interests: personal communications; 5G; cognitive radio; MIMO systems; mobility; stochastic modeling; traffic modeling; intrusion/anomaly detection in networks; routing in reconfigurable networks and optimum receiver design
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Monterrey 64849, Mexico
Interests: wireless sensor network; IoT; energy harvesting; information security; cognitive radio adhoc network
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Today, the emerging Internet of Things (IoT) requires extremely reliable communications to support real-time/data-oriented applications such as smart healthcare, environmental monitoring and intelligent transportation systems (ITS). This requirement is motivating researchers in both academia and industry to focus on 5th generation (5G) mobile communication, which targets the time horizon beyond 2020.

In most IoT applications, several sensors and actuators need to communicate in an ad hoc manner to address the objectives of the application. However, apart from advancements in millimeter-wave and cell densification, enormous number of sensors still operate on frequency bands below 6 GHz where the national regulation authorities (NRAs) are currently running out of options. Therefore, cognitive radio (CR) is a promising technology that could play a significant role in IoT applications, as the use of the limited available spectrum by an enormous number of sensors has resulted in massive signal interference. Consequently, wireless sensors as building blocks of IoT could form cognitive radio sensor networks (CRSNs) as a new communication paradigm to mitigate the spectrum scarcity issue. However, besides the traditional limitations of wireless sensor networks, such as limited power and computational capabilities, cognitive functionalities such as spectrum sensing and sharing impose extra challenges in the sustainable operation of CRSN.

This Special Issue aims to bring together scholars to discuss and present their latest research and findings on all the aspects of CRSN.

Topics of primary interest include but are not limited to:

  • Power management in CRSN
  • Energy harvesting in CRSN
  • Security analysis in CRSN
  • Medium access control protocols for CRSN
  • Routing protocols for CRSN
  • Cross-layer communication protocols for CRSN
  • Cooperative and bio-inspired algorithms for CRSN
  • Machine learning and artificial intelligent in CRSN
  • Architectures and deployments of CRSN
  • Energy efficient spectrum sensing for CRSN
  • Standards for CRSN

Dr. Mohammad Hossein Anisi
Prof. Mort Naraghi-Pour
Dr. Joaquim Ferreira
Prof. Cesar Vargas-Rosales
Dr. Mahdi Zareei
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. Sensors 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 2600 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.

Published Papers (1 paper)

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Research

15 pages, 4019 KiB  
Article
Understanding Probabilistic Cognitive Relaying Communication with Experimental Implementation and Performance Analysis
by Amith Khandakar and Amr Mahmoud Salem Mohamed
Sensors 2019, 19(1), 179; https://doi.org/10.3390/s19010179 - 06 Jan 2019
Cited by 5 | Viewed by 2646
Abstract
Efficiently use of the limited wireless spectrum can be achieved by cooperative cognitive relaying, where secondary users (SUs), who do not pay for the licensed spectrum and have better channel condition to the primary users (PUs) destination, can help the PU by relaying [...] Read more.
Efficiently use of the limited wireless spectrum can be achieved by cooperative cognitive relaying, where secondary users (SUs), who do not pay for the licensed spectrum and have better channel condition to the primary users (PUs) destination, can help the PU by relaying their traffic. A systematic approach of implementing a Cooperative Cognitive Relaying framework using USRP2 is proposed in this paper, which could be used for practical experiments on cognitive radio applications. Two probabilities are introduced in the experiment in the paper and their effect on the PU and SU performance are studied and analyzed. The two probabilities are: (1) Probability of Admission, which controls the PU data that would be allowed by SU in their PU data queue (which could be relayed by SU later) and (2) Probability of Scheduling, which controls the selection of queue at the SU (PU relay data queue or the SU data queue) and the data of the selected queue would be relayed by SU during an idle time slot. Finally, the practical results from the varying of the introduced probabilities on the performance of PU and SU are verified with the simulation results. A very interesting result is found from the practical experiment where it is seen that increasing probability of scheduling of the PU packets at the SU is always in favor of the SU as opposed to the PU in terms of both throughput and delay. Full article
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