scholarly journals Next-Generation Consumer Electronics for 6G Wireless Era

2020 ◽  
Author(s):  
Junaid Nawaz Syed ◽  
Shree Krishna Sharma ◽  
Mohmammad N. Patwary ◽  
Md Asaduzzaman
Keyword(s):  
Storage Capacity ◽  
High Capacity ◽  
Edge Computing ◽  
Consumer Electronics ◽  
Next Generation ◽  
Novel Technologies ◽  
Open Research ◽  
Recent Trends ◽  
And Storage ◽  
Practical Constraints

<div>The upcoming beyond 5G (B5G)/6G wireless networks target various innovative technologies, services, and interfaces such as edge computing, ultra-reliable and low-latency communication (URLLC), backscatter communications, and TeraHertz (THz) technology-enabled inter-chip communications and high capacity links. Although there are ongoing advances in the system/network level, it is crucial to introduce innovations at the device-level to efficiently support these novel technologies by addressing various practical constraints in terms of power limitations, computational capacity, and storage capacity. This device-level innovation ultimately demands significant enhancements in today's consumer electronics (CE). Considering the contemporary latency requirements of CE (e.g., entertainment, gaming, etc), to enhance the commercial potential of ``edge processing as service'', it is envisioned that URLLC will further evolve as enhanced-URLLC (e-URLLC). In this regard, this paper proposes a novel edge computing-enabled e-URLLC framework for the next generation CE, named edge computing for CE (ECCE), in order to enable the support of e-URLLC in the upcoming 6G era. Starting with the discussion on recent trends and advances in CE, the proposed framework and its importance in the 6G wireless era are described. Subsequently, several potential technologies and tools to enable the implementation of the proposed ECCE framework are identified along with some interesting open research topics and future recommendations. </div>

scholarly journals Next-Generation Consumer Electronics for 6G Wireless Era

2020 ◽  
Author(s):  
Junaid Nawaz Syed ◽  
Shree Krishna Sharma ◽  
Mohmammad N. Patwary ◽  
Md Asaduzzaman
Keyword(s):  
Storage Capacity ◽  
High Capacity ◽  
Edge Computing ◽  
Consumer Electronics ◽  
Next Generation ◽  
Novel Technologies ◽  
Open Research ◽  
Recent Trends ◽  
And Storage ◽  
Practical Constraints

<div>The upcoming beyond 5G (B5G)/6G wireless networks target various innovative technologies, services, and interfaces such as edge computing, ultra-reliable and low-latency communication (URLLC), backscatter communications, and TeraHertz (THz) technology-enabled inter-chip communications and high capacity links. Although there are ongoing advances in the system/network level, it is crucial to introduce innovations at the device-level to efficiently support these novel technologies by addressing various practical constraints in terms of power limitations, computational capacity, and storage capacity. This device-level innovation ultimately demands significant enhancements in today's consumer electronics (CE). Considering the contemporary latency requirements of CE (e.g., entertainment, gaming, etc), to enhance the commercial potential of ``edge processing as service'', it is envisioned that URLLC will further evolve as enhanced-URLLC (e-URLLC). In this regard, this paper proposes a novel edge computing-enabled e-URLLC framework for the next generation CE, named edge computing for CE (ECCE), in order to enable the support of e-URLLC in the upcoming 6G era. Starting with the discussion on recent trends and advances in CE, the proposed framework and its importance in the 6G wireless era are described. Subsequently, several potential technologies and tools to enable the implementation of the proposed ECCE framework are identified along with some interesting open research topics and future recommendations. </div>

scholarly journals Enhanced URLLC-Enabled Edge Computing Framework for Device-Level Innovation in 6G

2021 ◽  
Author(s):  
Junaid Nawaz Syed ◽  
Shree Krishna Sharma ◽  
Mohmammad N. Patwary ◽  
Md Asaduzzaman
Keyword(s):  
Storage Capacity ◽  
High Capacity ◽  
Edge Computing ◽  
Consumer Electronics ◽  
Research Topics ◽  
Novel Technologies ◽  
Open Research ◽  
Recent Trends ◽  
And Storage ◽  
Practical Constraints

<div>The upcoming beyond 5G (B5G) wireless networks target various innovative technologies, services, and interfaces such as edge computing (EC), ultra-reliable and low-latency communication (URLLC), backscatter communications, and TeraHertz (THz) technology-enabled inter-chip communications, and high capacity links. Although there are ongoing advances in the system/network level, it is crucial to introduce innovations at the device-level to efficiently support these novel technologies by addressing various practical constraints such as power limitations, computational capacity, and storage capacity. </div><div>Considering the contemporary latency requirements of future consumer electronics (CE) (e.g., entertainment, gaming, etc), to enhance the commercial potential of ``edge processing as service'', it is envisioned that URLLC will further evolve as enhanced-URLLC (e-URLLC). In this regard, this paper proposes a novel EC-enabled e-URLLC framework for the next-generation CE devices, named EC for CE (ECCE), in order to enable the support of e-URLLC in the wireless 6G era. Starting with the discussion on recent trends and advances in CE, the proposed framework and its importance in the 6G era are described. Subsequently, several potential enabling technologies and tools for the implementation of the proposed ECCE framework are identified along with a discussion on some interesting open research topics. </div>

scholarly journals A novel approach for IoT tasks offloading in edge-cloud environments

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Jaber Almutairi ◽  
Mohammad Aldossary
Keyword(s):  
Service Time ◽  
Edge Computing ◽  
Cloud System ◽  
Novel Approach ◽  
Delay Sensitivity ◽  
Cloud Environments ◽  
Application Characteristics ◽  
Iot Devices ◽  
Computational Resources ◽  
And Storage

AbstractRecently, the number of Internet of Things (IoT) devices connected to the Internet has increased dramatically as well as the data produced by these devices. This would require offloading IoT tasks to release heavy computation and storage to the resource-rich nodes such as Edge Computing and Cloud Computing. Although Edge Computing is a promising enabler for latency-sensitive related issues, its deployment produces new challenges. Besides, different service architectures and offloading strategies have a different impact on the service time performance of IoT applications. Therefore, this paper presents a novel approach for task offloading in an Edge-Cloud system in order to minimize the overall service time for latency-sensitive applications. This approach adopts fuzzy logic algorithms, considering application characteristics (e.g., CPU demand, network demand and delay sensitivity) as well as resource utilization and resource heterogeneity. A number of simulation experiments are conducted to evaluate the proposed approach with other related approaches, where it was found to improve the overall service time for latency-sensitive applications and utilize the edge-cloud resources effectively. Also, the results show that different offloading decisions within the Edge-Cloud system can lead to various service time due to the computational resources and communications types.

scholarly journals Highly absorbent hydrogels comprised from interpenetrated networks of alginate–polyurethane for biomedical applications

2021 ◽  
Vol 32 (6) ◽  
Author(s):  
Jesús A. Claudio-Rizo ◽  
Nallely Escobedo-Estrada ◽  
Sara L. Carrillo-Cortes ◽  
Denis A. Cabrera-Munguía ◽  
Tirso E. Flores-Guía ◽  
...  
Keyword(s):  
Biomedical Applications ◽  
Degradation Rate ◽  
High Capacity ◽  
Hydrolytic Degradation ◽  
Absorption Capacity ◽  
Amide Bonds ◽  
E Coli ◽  
Swelling Capacity ◽  
And Storage ◽  
Potential Area

AbstractDeveloping new approaches to improve the swelling, degradation rate, and mechanical properties of alginate hydrogels without compromising their biocompatibility for biomedical applications represents a potential area of research. In this work, the generation of interpenetrated networks (IPN) comprised from alginate–polyurethane in an aqueous medium is proposed to design hydrogels with tailored properties for biomedical applications. Aqueous polyurethane (PU) dispersions can crosslink and interpenetrate alginate chains, forming amide bonds that allow the structure and water absorption capacity of these novel hydrogels to be regulated. In this sense, this work focuses on studying the relation of the PU concentration on the properties of these hydrogels. The results indicate that the crosslinking of the alginate with PU generates IPN hydrogels with a crystalline structure characterized by a homogeneous smooth surface with high capacity to absorb water, tailoring the degradation rate, thermal decomposition, and storage module, not altering the native biocompatibility of alginate, providing character to inhibit the growth of E. coli and increasing also its hemocompatibility. The IPN hydrogels that include 20 wt.% of PU exhibit a reticulation index of 46 ± 4%, swelling capacity of 545 ± 13% at 7 days of incubation at physiological pH, resistance to both acidic and neutral hydrolytic degradation, mechanical improvement of 91 ± 1%, and no cytotoxicity for monocytes and fibroblasts growing for up to 72 h of incubation. These results indicate that these novel hydrogels can be used for successful biomedical applications in the design of wound healing dressings.

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