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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.<\/jats:p>","DOI":"10.1515\/pjbr-2022-0112","type":"journal-article","created":{"date-parts":[[2023,5,3]],"date-time":"2023-05-03T07:48:21Z","timestamp":1683100101000},"source":"Crossref","is-referenced-by-count":5,"title":["Ultra-low latency communication technology for Augmented Reality application in mobile periphery computing"],"prefix":"10.1515","volume":"14","author":[{"given":"Bharathiraja","family":"Nagu","sequence":"first","affiliation":[{"name":"Chitkara University Institute of Engineering and Technology, Chitkara University , Punjab , India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thiruneelakandan","family":"Arjunan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology , Ramapuram Campus , Chennai , TN , India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manoj L.","family":"Bangare","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Savitribai Phule Pune University, Smt. Kashibai Navale College of Engineering , Pune , India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pradeepa","family":"Karuppaiah","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, St. Michael College of Engineering and Technology , Kalayarkoil-630 551 , India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gaganpreet","family":"Kaur","sequence":"additional","affiliation":[{"name":"Chitkara University Institute of Engineering and Technology, Chitkara University , Punjab , India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammed Wasim","family":"Bhatt","sequence":"additional","affiliation":[{"name":"Department of Computer Science Engineering, Model Institute of Engineering and Technology , Jammu , J&K , India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2023,5,3]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"C. 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Ylianttila, \u201cA survey on mobile augmented reality with 5G mobile edge computing: Architectures, applications, and technical aspects,\u201d IEEE Commun. Surv. Tutor., vol. 23, pp. 1160\u20131192, 2021. 10.1109\/COMST.2021.3061981. Institute of Electrical and Electronics Engineers (IEEE).","key":"2025073006061540460_j_pjbr-2022-0112_ref_003","DOI":"10.1109\/COMST.2021.3061981"},{"doi-asserted-by":"crossref","unstructured":"K. Poularakis, J. Llorca, A. M. Tulino, I. Taylor, and L. Tassiulas, \u201cJoint service placement and request routing in multi-cell mobile edge computing networks,\u201d IEEE INFOCOM 2019 - IEEE Conference on Computer Communications, IEEE, 2019. 10.1109\/INFOCOM.2019.8737385.","key":"2025073006061540460_j_pjbr-2022-0112_ref_004","DOI":"10.1109\/INFOCOM.2019.8737385"},{"doi-asserted-by":"crossref","unstructured":"P. Fraga-Lamas, T. M. Fernandez-Carames, O. Blanco-Novoa, and M. A. Vilar-Montesinos, \u201cA review on industrial augmented reality systems for the industry 4.0 shipyard,\u201d IEEE Access, vol. 6, pp. 13358\u201313375, 2018. 10.1109\/ACCESS.2018.2808326. Institute of Electrical and Electronics Engineers (IEEE).","key":"2025073006061540460_j_pjbr-2022-0112_ref_005","DOI":"10.1109\/ACCESS.2018.2808326"},{"doi-asserted-by":"crossref","unstructured":"J. Burke, \u201cBrowsing an augmented reality with named data networking,\u201d 2017 26th International Conference on Computer Communication and Networks (ICCCN), IEEE, 2017. 10.1109\/ICCCN.2017.8038469.","key":"2025073006061540460_j_pjbr-2022-0112_ref_006","DOI":"10.1109\/ICCCN.2017.8038469"},{"doi-asserted-by":"crossref","unstructured":"N. Bharathiraja, P. Padmaja, S. B. Rajeshwari, J. S. Kallimani, A. M. Buttar, and T. B. Lingaiah, \u201cElite oppositional farmland fertility optimization based node localization technique for wireless networks,\u201d Lakshmanna K, editor. Wirel. Commun. Mob. Comput., vol. 2022, pp. 1\u20139, 2022. 10.1155\/2022\/5290028. Hindawi Limited.","key":"2025073006061540460_j_pjbr-2022-0112_ref_007","DOI":"10.1155\/2022\/5290028"},{"doi-asserted-by":"crossref","unstructured":"Y. Wang, M. Sheng, X. Wang, L. Wang, and J. Li, \u201cMobile-edge computing: Partial computation offloading using dynamic voltage scaling,\u201d IEEE Trans. Commun., vol. 64, no. 10, pp. 1\u20131, 2016. 10.1109\/TCOMM.2016.2599530. Institute of Electrical and Electronics Engineers (IEEE).","key":"2025073006061540460_j_pjbr-2022-0112_ref_008","DOI":"10.1109\/TCOMM.2016.2599530"},{"doi-asserted-by":"crossref","unstructured":"F.Wu, and M. W. Bhatt, \u201cSimulation and experimental study of nonlinear characteristics for multi-mode driving of intelligent vehicles,\u201d J. Interconnect. Netw., vol. 22, no. Supp 06, p. 2148001, 2022, 10.1142\/S0219265921480017. 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Samanta, \u201cInvestigations on decimal multipliers through novel partial product generators,\u201d J. Inst. Eng. (India) Ser. B, vol. 103, pp. 507\u2013516, 2021. 10.1007\/s40031-021-00657-8 0 Springer Science and Business Media LLC.","key":"2025073006061540460_j_pjbr-2022-0112_ref_012","DOI":"10.1007\/s40031-021-00657-8"},{"doi-asserted-by":"crossref","unstructured":"M. Taheri, A. Arasteh, S. Mohammadyan, A. Panahi, and K. Navi, \u201cA novel majority based imprecise 4:2 compressor with respect to the current and future VLSI industry,\u201d Microprocess. Microsyst., vol. 73, p. 102962, 2020. 10.1016\/j.micpro.2019.102962. Elsevier BV.","key":"2025073006061540460_j_pjbr-2022-0112_ref_013","DOI":"10.1016\/j.micpro.2019.102962"},{"doi-asserted-by":"crossref","unstructured":"Z. Liu, Y. Wang, Q. Zeng, Y. Yang, and Z. Dai, \u201cResearch on optimization measures of zigbee network connection in an imitated mine fading channel,\u201d Electronics, vol. 10, p. 171, 2021. 10.3390\/electronics10020171. MDPI AG.","key":"2025073006061540460_j_pjbr-2022-0112_ref_014","DOI":"10.3390\/electronics10020171"},{"doi-asserted-by":"crossref","unstructured":"M. R. Mili, A. Khalili, N. Mokari, S. Wittevrongel, D. W. K. Ng, and H. Steendam, \u201cTradeoff between ergodic energy efficiency and spectral efficiency in D2D communications under rician fading channel,\u201d IEEE Trans. Veh. Technol., vol. 69, pp. 9750\u20139766, 2020. 10.1109\/TVT.2020.3002296. Institute of Electrical and Electronics Engineers (IEEE).","key":"2025073006061540460_j_pjbr-2022-0112_ref_015","DOI":"10.1109\/TVT.2020.3002296"},{"doi-asserted-by":"crossref","unstructured":"N. Phull, P. Singh, M. Shabaz, and F. Sammy, \u201cPerformance enhancement of cluster-based Ad hoc on-demand distance vector routing in vehicular Ad hoc networks.\u201d Sci. 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Riera, A. Philippot, J. Zaytoon, F. Gellot, and R. Coupat, \u201cA methodology for automatic generation, formal verification and implementation of safe PLC programs for power supply equipment of the electric lines of railway control systems,\u201d Comput. Ind., vol. 123, p. 103328, 2020. 10.1016\/j.compind.2020.103328. Elsevier BV.","key":"2025073006061540460_j_pjbr-2022-0112_ref_019","DOI":"10.1016\/j.compind.2020.103328"},{"unstructured":"A. Umamageswari, N. Bharathiraja, and D. S. Irene, \u201cA novel fuzzy C-means based Chameleon Swarm algorithm for segmentation and progressive neural architecture search for plant disease classification,\u201d ICT Express, 2021. 10.1016\/j.icte.2021.08.019. Elsevier BV.","key":"2025073006061540460_j_pjbr-2022-0112_ref_020"},{"unstructured":"J. Peniel, P. Combo, O. Lyn, F. Yagin, and M. J. 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Commun., vol. 166, pp. 81\u201390, 2021. 10.1016\/j.comcom.2020.12.002. Elsevier BV.","key":"2025073006061540460_j_pjbr-2022-0112_ref_023","DOI":"10.1016\/j.comcom.2020.12.002"},{"doi-asserted-by":"crossref","unstructured":"P. Mishra, L. Jimmy, G. A. Ogunmola, T. V. Phu, A. Jayanthiladevi, and T. P. Latchoumi, \u201cHydroponics cultivation using real time Iot measurement system,\u201d J. Phys. Conf. Ser., vol. 1712, p. 012040, 2020. 10.1088\/1742-6596\/1712\/1\/012040. IOP Publishing.","key":"2025073006061540460_j_pjbr-2022-0112_ref_024","DOI":"10.1088\/1742-6596\/1712\/1\/012040"},{"doi-asserted-by":"crossref","unstructured":"W. An, J. J. Ma, H. Y. Zhou, H. S. Chen, X. Jun, and X. Jian, \u201cAn adaptive differential protection and fast auto-closing system for 10 kV distribution networks based on 4G LTE wireless communication,\u201d Future Internet, vol. 12, p. 2, 2019. 10.3390\/fi12010002. 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Shabaz, and F. Sammy, \u201cEnhancing vehicular Ad hoc networks\u2019 dynamic behavior by integrating game theory and machine learning techniques for reliable and stable routing,\u201d Azeem I, editor. Secur. Commun. Netw., vol. 2022, pp. 1\u201311, 2022. 10.1155\/2022\/4108231. Hindawi Limited.","key":"2025073006061540460_j_pjbr-2022-0112_ref_028","DOI":"10.1155\/2022\/4108231"},{"doi-asserted-by":"crossref","unstructured":"J. Wang, K. Wei, M. D. Ansari, M. S. A. L. Ansari, and A. Verma, \u201cPhotovoltaic power generation systems and applications using particle swarm optimization algorithms,\u201d Electrica, vol. 22, pp. 403\u2013409, 2022. 10.5152\/electrica.2022.22086. AVES Publishing Co.","key":"2025073006061540460_j_pjbr-2022-0112_ref_029","DOI":"10.5152\/electrica.2022.22086"},{"doi-asserted-by":"crossref","unstructured":"C. Yao, Y. Li, M. D. Ansari, M. A. Talab, and A. Verma, \u201cOptimization of industrial process parameter control using improved genetic algorithm for industrial robot,\u201d Paladyn J. Behav. Robot., vol. 13, pp. 67\u201375, 2022. 10.1515\/pjbr-2022-0006. Walter de Gruyter GmbH.","key":"2025073006061540460_j_pjbr-2022-0112_ref_030","DOI":"10.1515\/pjbr-2022-0006"},{"doi-asserted-by":"crossref","unstructured":"A. Mehbodniya, J. L. Webber, M. Shabaz, H. Mohafez, and K. Yadav. \u201cMachine learning technique to detect sybil attack on IoT based sensor network,\u201d IETE J. Res., vol. 2021, pp. 1\u20139. 2021. 10.1080\/03772063.2021.2000509. 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