Editorial: Potential Sensors for the Forthcoming 6G/IoE - Electronics and Physical Communication Aspects
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Editorial: Potential Sensors for the Forthcoming 6G/IoE - Electronics and Physical Communication Aspects Fadi Al-Turjman 1
# Springer Science+Business Media, LLC, part of Springer Nature 2020
Editorial: The new 6G and Internet of Everything (6G/IoE) infrastructure is expected to transform the world of connected sensors and reshape industries. Such a revolution would of course require research and development for the co-existence and device inter-operability of sensors’ physics/electronics with 6G networks, novel sensor prototypes, deployment, placement, control and management strategies, smart and intelligent network on chip (NoC) solutions, energy-efficient sensing materials with the support of new infrastructures, development of new energy harvesting methods in promising electronics sensors, inter/intra communication protocols and standards, integration of sensors with the existing Cloud-based infrastructures using 6G, and physical circuits reliability/ privacy and security issues for sensors employing 6G. Such research would also require case studies and physical deployment of sensors for the emerging IoE paradigm in 6G networks, studies using test beds, experimental results, as well as various performance evaluation and modelling approaches. Understanding the capabilities associated with these potential sensors is essential for practical implementation as they help modernize and streamline the motivating electronics and physical communication techniques in the near future. Consequently, researchers, scientists, and engineers face emerging challenges in designing sensor-based systems that can efficiently be integrated with the 6G/IoE communication paradigms. This special issue features nine selected papers with high quality. The first article, “Using Multiple RPL Instances to Enhance the Performance of New 6G and Internet of Everything (6G/IoE)-based Healthcare Monitoring Systems”, investigates the use of multiple RPL instances in healthcare monitoring systems to enhance the 6G/IoE network
* Fadi Al-Turjman [email protected] 1
Near East University, Nicosia, Mersin 10, Turkey
performance. The authors evaluate the performance of their proposed approach using Cooja simulator in terms of two key routing performance metrics: average Packet Delivery Ratio (PDR) and average latency. The results of the simulation showed that, by using the proposed approach, the performance of healthcare monitoring systems is enhanced in all cases, in terms of latency, from tens of seconds to less than one second. The second article titled “Creating collision free communication in IoT with 6G using Multiple Machine Access Learning Collision Avoidance protocol” proposes a Multiple Machine Access Learning with Collision Carrier Avoidance (MMALCCA) protocol in the environment of 6G Internet of Things for creating an effective communication process. This protocol employs the Media Access Control (MAC) protocol for the sync of high-speed wireless communication networks in the Terahertz (THz) band. MMALCCA performs multiple ma
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