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

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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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.