Special Issue "Resource Allocation and Optimal Scheduling in Cognitive Wireless Sensor Networks – Mathematical Models"

Special Issue Editors

Guest Editor
Prof. Dr. Attahiru Alfa

Department of Electrical & Computer Engineering, University of Manitoba, Winnipeg, Canada;
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa
Website | E-Mail
Interests: wireless sensor networks; cognitive radio networks; stochastic models for communication systems; queueing theory; optimization; resource allocation; matrix-analytic methods for stochastic models; network models; tele-traffic models
Guest Editor
Prof. Dr. B. T. Maharaj

Dept of Electrical, Electronic and Computer EngineeringUniversity of Pretoria,Pretoria, South Africa
Website | E-Mail
Interests: cognitive radio networks and resource allocation; massive MIMO system optimization; cognitive radio wireless sensor networks; 5G networks and channel modeling
Guest Editor
Dr. Haitham Abu Ghazaleh

Dept. of Engineering and Computer science Tarleton State University, Stephenville, Texas 76402, USA
Website | E-Mail
Interests: radio resource management; wireless and network teletraffic models; user mobility models; cognitive wireless sensor networks; smart grids; performance analysis of wireless networks; queueing systems

Special Issue Information

Dear Colleagues,

It is believed that wireless sensor networks (WSN), machine-type communications (MTC), cognitive radio networks (CRN), and several other technologies play major roles in IoT (the Internet of Things). IoT is expected to revolutionize how we do things in many ways. However, the effective and efficient design and deployment of such large-scale networks requires very effective and efficient resource allocation. Currently WSN is limited to ISM band (unlicensed channels) for data transmission.  This is quite limiting and does affect latency adversely. Recently, it is believed that cognitive technology can be utilized by WSN through sensing and monitoring the licensed channels and using them when free. This led to the idea of cognitive wireless sensor networks. While efficient allocation is key, how the allocated resources are scheduled also plays a significant role. It is believed that the deployment of 5G technologies in 2020 is imminent. These advancements will be welcomed, because they would increase network capacity and considerably improve latency: a key feature required for the success of IoT. However, optimal resource allocation and scheduling of transmission of data gathered is key to the realization of this vision. The data collected by the Wireless sensor networks can be transmitted over different types of channels: licensed or unlicensed. Managing how the data is distributed over these types of channels is key to improving latency, and this capitalizes on the cognitive wireless sensor networks technology. In the end, mathematical models that assist in optimal resource allocation and scheduling of WSN over the different types of channels are essential to the success of these technologies.

The aim of this Special Issue is to assemble mathematical tools and models for the implementation of resource allocation and scheduling for cognitive wireless sensor networks.

Potential topics include, but are not limited to:

  • Optimization models for resource allocations for WSN.
  • Optimization models for resource allocations for CRN.
  • Understanding the complexity of the interworking of WSN, CRN in IoT
  • Optimal use of both the licensed and unlicensed channels for WSN – resource allocation and scheduling.
  • Exploring the features of 5G in cognitive wireless network operation.
  • Energy-efficient resource allocation schemes for CRN.

Prof. Dr. Attahiru Alfa
Prof. Dr. B. T. Maharaj
Dr. Haitham Abu Ghazaleh
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 papers will be 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. Journal of Sensor and Actuator Networks is an international peer-reviewed open access quarterly 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 350 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.


  • Wireless sensor networks (WSN)
  • Cognitive radio networks(CRN)
  • Cognitive wireless sensor networks (CWSN)
  • Resource allocation (RA)
  • Scheduling
  • Mathematical models for RA in WSN and CRN

Published Papers

This special issue is now open for submission.
J. Sens. Actuator Netw. EISSN 2224-2708 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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