Ultra-low latency communication technology for Augmented Reality application in mobile periphery computing
Improved Reliability and Low Latency Communication (IRLC) with Augmented Reality (AR) has become an emerging technology in today’s world. To minimize an accessory adaptation for Customer Equipment (CE) in AR, it may be feasible to offload the AR workload onto the onboard devices. Mobile-Edge Computa...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2023-05-01
|
| Series: | Paladyn |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/pjbr-2022-0112 |
| _version_ | 1797425405146169344 |
|---|---|
| author | Nagu Bharathiraja Arjunan Thiruneelakandan Bangare Manoj L. Karuppaiah Pradeepa Kaur Gaganpreet Bhatt Mohammed Wasim |
| author_facet | Nagu Bharathiraja Arjunan Thiruneelakandan Bangare Manoj L. Karuppaiah Pradeepa Kaur Gaganpreet Bhatt Mohammed Wasim |
| author_sort | Nagu Bharathiraja |
| collection | DOAJ |
| description | Improved Reliability and Low Latency Communication (IRLC) with Augmented Reality (AR) has become an emerging technology in today’s world. To minimize an accessory adaptation for Customer Equipment (CE) in AR, it may be feasible to offload the AR workload onto the onboard devices. Mobile-Edge Computation (MEC) will improve the throughput of a CE. MEC has caused enormous overhead or communication omissions on wireless media, making it difficult to choose the optimal payload proposition. The proposed system explores on-board devices that work together to achieve an AR goal. Code splitting is a Bayesian network used to examine the overall interdependence of efforts. From a longevity and endurance perspective, it is used to reduce the Probability of Supplier Failure (PSF) of an MEC-enabled AR environment. Weighed Particle Swarm Optimization (WPSO) was proposed despite the reality based on the emphasis on balancing the issue. As a result, a heuristic-based WPSO facilitates to improve the performance measures. A hybrid method could significantly increase the assertion of a predicted PSF in various network scenarios compared to the existing communication technologies. A preliminary iterative approach is suitable for AR operations and IRLC scenarios to generalize the attributes. |
| first_indexed | 2024-03-09T08:15:40Z |
| format | Article |
| id | doaj.art-62167b6838b242a495cff5596bea25fc |
| institution | Directory Open Access Journal |
| issn | 2081-4836 |
| language | English |
| last_indexed | 2024-03-09T08:15:40Z |
| publishDate | 2023-05-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Paladyn |
| spelling | doaj.art-62167b6838b242a495cff5596bea25fc2023-12-02T22:21:14ZengDe GruyterPaladyn2081-48362023-05-01141p. 31710.1515/pjbr-2022-0112Ultra-low latency communication technology for Augmented Reality application in mobile periphery computingNagu Bharathiraja0Arjunan Thiruneelakandan1Bangare Manoj L.2Karuppaiah Pradeepa3Kaur Gaganpreet4Bhatt Mohammed Wasim5Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, IndiaDepartment of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, TN, IndiaDepartment of Information Technology, Savitribai Phule Pune University, Smt. Kashibai Navale College of Engineering, Pune, IndiaDepartment of Computer Science and Engineering, St. Michael College of Engineering and Technology, Kalayarkoil-630 551, IndiaChitkara University Institute of Engineering and Technology, Chitkara University, Punjab, IndiaDepartment of Computer Science Engineering, Model Institute of Engineering and Technology, Jammu, J&K, IndiaImproved Reliability and Low Latency Communication (IRLC) with Augmented Reality (AR) has become an emerging technology in today’s world. To minimize an accessory adaptation for Customer Equipment (CE) in AR, it may be feasible to offload the AR workload onto the onboard devices. Mobile-Edge Computation (MEC) will improve the throughput of a CE. MEC has caused enormous overhead or communication omissions on wireless media, making it difficult to choose the optimal payload proposition. The proposed system explores on-board devices that work together to achieve an AR goal. Code splitting is a Bayesian network used to examine the overall interdependence of efforts. From a longevity and endurance perspective, it is used to reduce the Probability of Supplier Failure (PSF) of an MEC-enabled AR environment. Weighed Particle Swarm Optimization (WPSO) was proposed despite the reality based on the emphasis on balancing the issue. As a result, a heuristic-based WPSO facilitates to improve the performance measures. A hybrid method could significantly increase the assertion of a predicted PSF in various network scenarios compared to the existing communication technologies. A preliminary iterative approach is suitable for AR operations and IRLC scenarios to generalize the attributes.https://doi.org/10.1515/pjbr-2022-0112evolutionary algorithmoptimizationmobile-edge computingcognitive computingcommunication technologyaugmented reality |
| spellingShingle | Nagu Bharathiraja Arjunan Thiruneelakandan Bangare Manoj L. Karuppaiah Pradeepa Kaur Gaganpreet Bhatt Mohammed Wasim Ultra-low latency communication technology for Augmented Reality application in mobile periphery computing Paladyn evolutionary algorithm optimization mobile-edge computing cognitive computing communication technology augmented reality |
| title | Ultra-low latency communication technology for Augmented Reality application in mobile periphery computing |
| title_full | Ultra-low latency communication technology for Augmented Reality application in mobile periphery computing |
| title_fullStr | Ultra-low latency communication technology for Augmented Reality application in mobile periphery computing |
| title_full_unstemmed | Ultra-low latency communication technology for Augmented Reality application in mobile periphery computing |
| title_short | Ultra-low latency communication technology for Augmented Reality application in mobile periphery computing |
| title_sort | ultra low latency communication technology for augmented reality application in mobile periphery computing |
| topic | evolutionary algorithm optimization mobile-edge computing cognitive computing communication technology augmented reality |
| url | https://doi.org/10.1515/pjbr-2022-0112 |
| work_keys_str_mv | AT nagubharathiraja ultralowlatencycommunicationtechnologyforaugmentedrealityapplicationinmobileperipherycomputing AT arjunanthiruneelakandan ultralowlatencycommunicationtechnologyforaugmentedrealityapplicationinmobileperipherycomputing AT bangaremanojl ultralowlatencycommunicationtechnologyforaugmentedrealityapplicationinmobileperipherycomputing AT karuppaiahpradeepa ultralowlatencycommunicationtechnologyforaugmentedrealityapplicationinmobileperipherycomputing AT kaurgaganpreet ultralowlatencycommunicationtechnologyforaugmentedrealityapplicationinmobileperipherycomputing AT bhattmohammedwasim ultralowlatencycommunicationtechnologyforaugmentedrealityapplicationinmobileperipherycomputing |