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Low-Latency Wireless Communication and Networks for Mission-Critical Applications

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A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (31 August 2019) | Viewed by 14804

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Special Issue Editors

Prof. Dr. Hyung Seok Kim

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Guest Editor

Department of Information and Communication Engineering, Sejong University, 05006 209, Neungdong-ro, Gwangjin-gu, Seoul, Korea
Interests: embedded systems; wireless networks; artificial intelligence; Internet of Things
Special Issues, Collections and Topics in MDPI journals

Prof. Dr. Muhammad Tabish Niaz

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Guest Editor

Smart Device Engineering, School of Intelligent Mechatronics, Sejong University, Seoul, Korea
Interests: visible light communication; IoT; 5G; next-generation networks

Special Issue Information

Dear Colleagues,

Wireless communication and networks for mission-critical applications (e.g., remote healthcare, autonomous vehicles, industrial automation, medical robot control, etc.) are currently receiving a great deal of attention in academia and industry. They require wireless connections with low latency (<1 ms) and very high reliability in terms of packet error rate (PER < 10⁻⁹). The combined objective of high reliability and low latency is difficult to achieve due to the conflicting nature of these service requirements at the physical layer of the network. Reliability requires the use of additional resources, causing increased latency, whereas shorter packets must be used for decreasing latency causing decreases in channel coding gain. Hence, this fundamental relation between reliability and latency must be addressed to accelerate the development and accommodation of services and applications in current and future wireless networks. The wireless networks or core networks for mission critical applications should take into account processing/computing delay, reliability, topology, packet size, power consumption, energy efficiency and so on. With this challenging study, mission-critical wireless networks are destined for evolution to next-generation networks so that they can be scalable, energy-efficient, and robust. We expect the papers of this Special Issue to serve as valuable references. The scope of this Special Issue includes, but is not limited to:

Low-power sensor systems and IoT networks with low latencies realizing the tactile Internet;
Signal processing for low-latency and high-reliability communication;
Mission-critical applications and protocols using optical wireless communication;
Energy-efficient system and network design for mission-critical applications;
Multiple access schemes considering energy consumption and delay constraints;
Impact of network densification in massive connectivity;
Designs based on mobile edge computing and network slicing;
Network optimization using machine learning and game theoretic approaches.

Prof. Dr. Hyung Seok Kim
Prof. Dr. Muhammad Tabish Niaz
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. Energies 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.

Keywords

wireless communication
wireless networks
low latency
high reliability
energy efficiency
IoT
mission-critical applications

Published Papers (4 papers)

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Research

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23 pages, 4819 KiB

Open AccessArticle

A Power Control Mean Field Game Framework for Battery Lifetime Enhancement of Coexisting Machine-Type Communications

by Kashif Mehmood, Muhammad Tabish Niaz and Hyung Seok Kim

Energies 2019, 12(20), 3819; https://doi.org/10.3390/en12203819 - 10 Oct 2019

Cited by 1 | Viewed by 2047

Abstract

Machine-type communications (MTC) enable the connectivity and control of a vast category of devices without human intervention. This study considers a hybrid coexisting wireless cellular network for traditional and MTC devices along with the need for an energy efficient power allocation mechanism for MTC devices. A model is presented for the interference and battery lifetime of MTC devices and a battery lifetime maximization problem is formulated. Conventional game designs are unable to address the demands of a densified user environment because of the dimensional difficulty presented when attempting to achieve a converged solution that would lead to a stable equilibrium. The MTC power control problem is modeled as a differential game and a mean field game (MFG) for massive number of MTC nodes estimates the power allocation policy with system utility defined in terms of the experienced interference and reliability. The formulated power control MFG is solved using a finite difference method and analyzed using extensive simulations. The solution provides an optimal power control strategy for MTC devices, enabling them to prolong their battery lives with the implemented energy efficient power allocation scheme. Full article

(This article belongs to the Special Issue Low-Latency Wireless Communication and Networks for Mission-Critical Applications)

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18 pages, 1068 KiB

Open AccessArticle

Unmanned Aerial Vehicles enabled IoT Platform for Disaster Management

by Waleed Ejaz, Muhammad Awais Azam, Salman Saadat, Farkhund Iqbal and Abdul Hanan

Energies 2019, 12(14), 2706; https://doi.org/10.3390/en12142706 - 15 Jul 2019

Cited by 48 | Viewed by 4781

Abstract

Efficient and reliable systems are required to detect and monitor disasters such as wildfires as well as to notify the people in the disaster-affected areas. Internet of Things (IoT) is the key paradigm that can address the multitude problems related to disaster management. In addition, an unmanned aerial vehicles (UAVs)-enabled IoT platform connected via cellular network can further enhance the robustness of the disaster management system. The UAV-enabled IoT platform is based on three main research areas: (i) ground IoT network; (ii) communication technologies for ground and aerial connectivity; and (iii) data analytics. In this paper, we provide a holistic view of a UAVs-enabled IoT platform which can provide ubiquitous connectivity to both aerial and ground users in challenging environments such as wildfire management. We then highlight key challenges for the design of an efficient and reliable IoT platform. We detail a case study targeting the design of an efficient ground IoT network that can detect and monitor fire and send notifications to people using named data networking (NDN) architecture. The use of NDN architecture in a sensor network for IoT integrates pull-based communication to enable reliable and efficient message dissemination in the network and to notify the users as soon as possible in case of disastrous situations. The results of the case study show the enormous impact on the performance of IoT platform for wildfire management. Lastly, we draw the conclusion and outline future research directions in this field. Full article

(This article belongs to the Special Issue Low-Latency Wireless Communication and Networks for Mission-Critical Applications)

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17 pages, 3208 KiB

Open AccessArticle

Efficient Advertiser Discovery in Bluetooth Low Energy Devices

by Seung Whan Song, Youn Sang Lee, Fatima Imdad, Muhammad Tabish Niaz and Hyung Seok Kim

Energies 2019, 12(9), 1707; https://doi.org/10.3390/en12091707 - 06 May 2019

Cited by 10 | Viewed by 2960

Abstract

Bluetooth Low Energy (BLE) has become ubiquitous in the majority of mobile devices that connect wirelessly. With the increase in the number of devices, the probability of congestion also increases in a network. Data channels of the BLE use frequency hopping, but it is not available for advertising channels. The capability of the BLE for providing a wide range of parameters settings ensures the impressive potential for BLE devices to customize their discovery latency. But communication before connection setup is not synchronous and both the scanning devices and the advertising devices are unaware of the timing parameters of each other. This can lead to inefficient advertiser device discovery. To resolve this issue, an algorithm is proposed to reduce the average latency per advertiser experienced due to the increase in the number of BLE devices in a vicinity. It is observed that the average latency has shown improvement in the range of 35% to 55%, depending on different simulated scenarios. Due to this improvement the overall energy consumption is also reduced. Full article

(This article belongs to the Special Issue Low-Latency Wireless Communication and Networks for Mission-Critical Applications)

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Review

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35 pages, 3050 KiB

Open AccessReview

The Four-C Framework for High Capacity Ultra-Low Latency in 5G Networks: A Review

by Anabi Hilary Kelechi, Mohammed H. Alsharif, Athirah Mohd Ramly, Nor Fadzilah Abdullah and Rosdiadee Nordin

Energies 2019, 12(18), 3449; https://doi.org/10.3390/en12183449 - 06 Sep 2019

Cited by 12 | Viewed by 4250

Abstract

Network latency will be a critical performance metric for the Fifth Generation (5G) networks expected to be fully rolled out in 2020 through the IMT-2020 project. The multi-user multiple-input multiple-output (MU-MIMO) technology is a key enabler for the 5G massive connectivity criterion, especially from the massive densification perspective. Naturally, it appears that 5G MU-MIMO will face a daunting task to achieve an end-to-end 1 ms ultra-low latency budget if traditional network set-ups criteria are strictly adhered to. Moreover, 5G latency will have added dimensions of scalability and flexibility compared to prior existing deployed technologies. The scalability dimension caters for meeting rapid demand as new applications evolve. While flexibility complements the scalability dimension by investigating novel non-stacked protocol architecture. The goal of this review paper is to deploy ultra-low latency reduction framework for 5G communications considering flexibility and scalability. The Four (4) C framework consisting of cost, complexity, cross-layer and computing is hereby analyzed and discussed. The Four (4) C framework discusses several emerging new technologies of software defined network (SDN), network function virtualization (NFV) and fog networking. This review paper will contribute significantly towards the future implementation of flexible and high capacity ultra-low latency 5G communications. Full article

(This article belongs to the Special Issue Low-Latency Wireless Communication and Networks for Mission-Critical Applications)

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