Special Issue "Mobile and Wireless Networks"

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708).

Deadline for manuscript submissions: closed (31 August 2018).

Special Issue Editor

Prof. Dr. Patrick Seeling
Guest Editor
Central Michigan University, Department of Computer Science, Mount Pleasant, MI 48859, USA
Interests: communication networks (mobile, multimedia, software-defined); Tactile Internet; computer-mediated education
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Our hyper-connected world relies increasingly on wireless networks incorporating hardware and software implementations. Wireless network research ranging from hardware to software solutions continue to progress in both, evolutionary and revolutionary fashions to deliver on an always-on, always-connected society promise for user- and machine-driven communications. These solutions range across the spectrum of far-reaching wide area mobile networks (4G, 5G) to short-range near-field communication (NFC) network types. They enable smart city solutions with the help of sensor networks (WSNs) and the Internet of Things (IoT) with machine to machine (or device to device) communications (M2M, D2D).  Similarly, wireless personal area networks (WPANs), and wireless local area networks (WLANs) continue as staples of connected users, applications, and services alongside other untethered network types.

This special issue focuses on theoretical and implementation solutions across the wireless communications layer stack that address the challenges that wireless networks face, including power constraints, congested spectrums, security and reliability for mission-critical applications, or throughput and latency required for real-time services, to name but a few. Common solutions include the design of communications protocols, network architectures, resource allocation schemes, and cross-layer optimizations. Solution approaches could even include systems incorporating edge computing and/or machine learning approaches for increased qualities of service/experience (QoS/QoE) and be coupled in cyber-physical feedback systems.

This special issue solicits original work presented as research contribution, tutorial, or technical paper.  Manuscripts should describe completed and unpublished work not currently under review elsewhere.

Dr. Patrick Seeling
Guest Editor

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 1000 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.


  • spectrum usage and allocations for 4G, 5G, and beyond
  • green wireless and mobile networks
  • IoT, sensor networks, and big data applications in smart cities
  • machine-to-machine (M2M) and device-to-device (D2D) communications
  • network data analytics for communications optimizations and security
  • quality of service (QoS) and quality of experience (QoE) solutions for emerging services
  • cooperative and heterogeneous wireless networks
  • open source platforms and experimental validations with testbeds
  • middleware and edge computing systems
  • wireless software-defined networking
  • mobile peer-to-peer systems and computing
  • future directions of applications and services

Published Papers (1 paper)

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Open AccessArticle
Outage Analysis of Distributed Antenna Systems in a Composite Fading Channel with Correlated Shadowing
J. Sens. Actuator Netw. 2018, 7(3), 32; https://doi.org/10.3390/jsan7030032 - 03 Aug 2018
Cited by 1
Distributed antenna systems (DASs) are known to be effective to enhance coverage, spectral efficiency, and reliability in mobile communication systems. Because multiple antennas are physically separated in space, DASs benefit from both micro- and macro-diversity, which makes DASs significantly more robust compared to [...] Read more.
Distributed antenna systems (DASs) are known to be effective to enhance coverage, spectral efficiency, and reliability in mobile communication systems. Because multiple antennas are physically separated in space, DASs benefit from both micro- and macro-diversity, which makes DASs significantly more robust compared to conventional co-located antenna systems in fading channels. However, when multiple antennas are not dispersed enough, there exists a certain degree of correlation in large-scale fading (shadowing), which degrades the macro-diversity gain. In practice, various measurements indicate a high degree of correlation of shadowing in DASs. However, most of the previous studies on DASs have not considered the correlated shadowing and its corresponding performance loss. Motivated by this limitation, we analyze the impact of the correlated shadowing to better evaluate DAS-based schemes with dual diversity transmitters. Assuming that shadowing correlation is an exponentially decreasing function of the inter-element separation, we derive the outage probability of DAS in composite Rayleigh-lognormal shadowing channels. Also, we present numerical and simulation results, which indicate there exists an optimal inter-separation between antennas that minimizes the outage rate to balance a trade-off between macro-diversity and path loss. Full article
(This article belongs to the Special Issue Mobile and Wireless Networks)
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