Resource Allocation in Massive Internet of Things-Edge Network with Optimal Path Planning and Scheduling
Main Article Content
Abstract
Although an Ultra Dense deployment is required for 5G services, it will be nearly impossible to achieve 60 service coverage with the dense deployments due to the even shorter transmission range. In light of 5G’s impressive technological advance, 5G and data centers are now capable of handling an increasing number of real-time and complicated computational tasks from Internet of Things (IoT) systems. This paper proposes an optimal mobile resource-sharing approach to confront this underlying limitation of 5G. In contrast to conventional algorithms, the designed optimal path planning and scheduling for mobile edge server (OPPSMES) is proposed that have the advantage of a synchronization among request being received and achieved lower delay and resource demand for as computing this allowed for the parallel processing of task and server in mobile condition. The OPPSMES includes two steps, i.e., path planning and optimal task scheduling, to improve efficiency. According to simulation outcomes, there is a significant increase in resource utilization and a decrease in average response time.
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How to Cite
Barapatre, A., & Sadiwala, Ritesh. (2022). Resource Allocation in Massive Internet of Things-Edge Network with Optimal Path Planning and Scheduling. SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 14(04), 17-23. https://doi.org/10.18090/samriddhi.v14i04.03
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Research Article
References
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Enabling Massive IoT Toward 6G: A Comprehensive Survey.
IEEE Internet of Things Journal, 8(15), 11891–11915. https://doi.
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[3] Lv, Z., Lou, R., Li, J., Singh, A. K., & Song, H. (2021). Big data analytics for 6g-enabled massive internet of things. IEEE Internet of Things Journal, 8(7), 5350–5359. https://doi.
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https://doi.org/10.1109/JIOT.2021.3061231
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IEEE Internet of Things Journal, 8(7), 5298–5308. https://doi.
org/10.1109/JIOT.2020.3033298
[8] Verma, S., Kaur, S., Khan, M. A., & Sehdev, P. S. (2021). Toward green communication in 6g-enabled massive internet of things.
IEEE Internet of Things Journal, 8(7), 5408–5415. https://doi.
org/10.1109/JIOT.2020.3038804
[1] Mukherjee, Amrit & Goswami, Pratik & Khan, Mohammad & Yang, Lixia & Pillai, Prashant. (2020). Energy-Efficient Resource Allocation Strategy in Massive IoT for Industrial 6G Applications. IEEE Internet of Things Journal. PP. 1-1. 10.1109/ JIOT.2020.3035608.
[2] Guo, F., Yu, F. R., Zhang, H., Li, X., Ji, H., & Leung, V. C. M. (2021).
Enabling Massive IoT Toward 6G: A Comprehensive Survey.
IEEE Internet of Things Journal, 8(15), 11891–11915. https://doi.
org/10.1109/JIOT.2021.3063686
[3] Lv, Z., Lou, R., Li, J., Singh, A. K., & Song, H. (2021). Big data analytics for 6g-enabled massive internet of things. IEEE Internet of Things Journal, 8(7), 5350–5359. https://doi.
org/10.1109/JIOT.2021.3056128
[4] Mumtaz, S., Menon, V. G., Al-Dulaimi, A., Ashraf, M. I., & Guizani, M. (2021). Guest editorial: Special issue on enabling massive iot with 6g: Applications, architectures, challenges, and research directions. IEEE Internet of Things Journal, 8(7), 5111–5113.
https://doi.org/10.1109/JIOT.2021.3061231
[5] Malik, U. M., Javed, M. A., Zeadally, S., & Islam, S. ul. (2021). Energy efficient fog computing for 6G enabled massive IoT: Recent trends and future opportunities. IEEE Internet of Things Journal, 4662(c), 1–22. https://doi.org/10.1109/JIOT.2021.3068056 [6] Liao, S., Wu, J., Li, J., & Konstantin, K. (2021). Information-centric massive iot-based ubiquitous connected vr/ar in 6g: A proposed caching consensus approach. IEEE Internet of Things Journal, 8(7), 5172–5184. https://doi.org/10.1109/JIOT.2020.3030718 [7] Liao, Z., Peng, J., Huang, J., Wang, J., Wang, J., Sharma, P. K., & Ghosh, U. (2021). Distributed probabilistic offloading in edge computing for 6g-enabled massive internet of things.
IEEE Internet of Things Journal, 8(7), 5298–5308. https://doi.
org/10.1109/JIOT.2020.3033298
[8] Verma, S., Kaur, S., Khan, M. A., & Sehdev, P. S. (2021). Toward green communication in 6g-enabled massive internet of things.
IEEE Internet of Things Journal, 8(7), 5408–5415. https://doi.
org/10.1109/JIOT.2020.3038804
[9] Hong, H., Zhao, J., Hong, T., & Tang, T. (2021). RadarCommunication Integration for 6G Massive IoT Services. IEEE Internet of Things Journal, 4662(c), 1–11. https://doi.org/10.1109/ JIOT.2021.3064072
[10] Jang, H. S., Jung, B. C., Quek, T. Q. S., & Sung, D. K. (2021). ResourceHopping-Based Grant-Free Multiple Access for 6G-Enabled Massive IoT Networks. IEEE Internet of Things Journal, 8(20), 15349–15360. https://doi.org/10.1109/JIOT.2021.3064872
[11] Sodhro, A. H., Zahid, N., Wang, L., Pirbhulal, S., Ouzrout, Y., Sekhari Seklouli, A., Lira Neto, A. V., MacEdo, A. R. L. D., & Albuquerque, V. H. C. D. (2021). Toward ML-Based EnergyEfficient Mechanism for 6G Enabled Industrial Network in Box Systems. IEEE Transactions on Industrial Informatics, 17(10), 7185–7192. https://doi.org/10.1109/TII.2020.3026663
[12] Y. Liu, Y. Li, Y. Niu, and D. Jin, “Joint optimization of path planning and resource allocation in mobile edge computing,” IEEE Transactions on Mobile Computing, 2019.
[13] Satish Kumar Nalluri, Venkata Krishna Bharadwaj Parasaram, Varun Teja Bathini. (2020). Secure Automation Frameworks for Smart Manufacturing Using Blockchain-Assisted Traceability.
International Journal of Research & Technology, 8(2), 47–53.
Retrieved from https://ijrt.org/j/article/view/879
[14] Hussein, M. K., &Mousa, M. H. (2020). Efficient task offloading for IoT-Based applications in fog computing using ant
colony optimization. IEEE Access, 8, 37191–37201. https://doi.org/10.1109/ACCESS.2020.2975741
[2] Guo, F., Yu, F. R., Zhang, H., Li, X., Ji, H., & Leung, V. C. M. (2021).
Enabling Massive IoT Toward 6G: A Comprehensive Survey.
IEEE Internet of Things Journal, 8(15), 11891–11915. https://doi.
org/10.1109/JIOT.2021.3063686
[3] Lv, Z., Lou, R., Li, J., Singh, A. K., & Song, H. (2021). Big data analytics for 6g-enabled massive internet of things. IEEE Internet of Things Journal, 8(7), 5350–5359. https://doi.
org/10.1109/JIOT.2021.3056128
[4] Mumtaz, S., Menon, V. G., Al-Dulaimi, A., Ashraf, M. I., & Guizani, M. (2021). Guest editorial: Special issue on enabling massive iot with 6g: Applications, architectures, challenges, and research directions. IEEE Internet of Things Journal, 8(7), 5111–5113.
https://doi.org/10.1109/JIOT.2021.3061231
[5] Malik, U. M., Javed, M. A., Zeadally, S., & Islam, S. ul. (2021). Energy efficient fog computing for 6G enabled massive IoT: Recent trends and future opportunities. IEEE Internet of Things Journal, 4662(c), 1–22. https://doi.org/10.1109/JIOT.2021.3068056 [6] Liao, S., Wu, J., Li, J., & Konstantin, K. (2021). Information-centric massive iot-based ubiquitous connected vr/ar in 6g: A proposed caching consensus approach. IEEE Internet of Things Journal, 8(7), 5172–5184. https://doi.org/10.1109/JIOT.2020.3030718 [7] Liao, Z., Peng, J., Huang, J., Wang, J., Wang, J., Sharma, P. K., & Ghosh, U. (2021). Distributed probabilistic offloading in edge computing for 6g-enabled massive internet of things.
IEEE Internet of Things Journal, 8(7), 5298–5308. https://doi.
org/10.1109/JIOT.2020.3033298
[8] Verma, S., Kaur, S., Khan, M. A., & Sehdev, P. S. (2021). Toward green communication in 6g-enabled massive internet of things.
IEEE Internet of Things Journal, 8(7), 5408–5415. https://doi.
org/10.1109/JIOT.2020.3038804
[1] Mukherjee, Amrit & Goswami, Pratik & Khan, Mohammad & Yang, Lixia & Pillai, Prashant. (2020). Energy-Efficient Resource Allocation Strategy in Massive IoT for Industrial 6G Applications. IEEE Internet of Things Journal. PP. 1-1. 10.1109/ JIOT.2020.3035608.
[2] Guo, F., Yu, F. R., Zhang, H., Li, X., Ji, H., & Leung, V. C. M. (2021).
Enabling Massive IoT Toward 6G: A Comprehensive Survey.
IEEE Internet of Things Journal, 8(15), 11891–11915. https://doi.
org/10.1109/JIOT.2021.3063686
[3] Lv, Z., Lou, R., Li, J., Singh, A. K., & Song, H. (2021). Big data analytics for 6g-enabled massive internet of things. IEEE Internet of Things Journal, 8(7), 5350–5359. https://doi.
org/10.1109/JIOT.2021.3056128
[4] Mumtaz, S., Menon, V. G., Al-Dulaimi, A., Ashraf, M. I., & Guizani, M. (2021). Guest editorial: Special issue on enabling massive iot with 6g: Applications, architectures, challenges, and research directions. IEEE Internet of Things Journal, 8(7), 5111–5113.
https://doi.org/10.1109/JIOT.2021.3061231
[5] Malik, U. M., Javed, M. A., Zeadally, S., & Islam, S. ul. (2021). Energy efficient fog computing for 6G enabled massive IoT: Recent trends and future opportunities. IEEE Internet of Things Journal, 4662(c), 1–22. https://doi.org/10.1109/JIOT.2021.3068056 [6] Liao, S., Wu, J., Li, J., & Konstantin, K. (2021). Information-centric massive iot-based ubiquitous connected vr/ar in 6g: A proposed caching consensus approach. IEEE Internet of Things Journal, 8(7), 5172–5184. https://doi.org/10.1109/JIOT.2020.3030718 [7] Liao, Z., Peng, J., Huang, J., Wang, J., Wang, J., Sharma, P. K., & Ghosh, U. (2021). Distributed probabilistic offloading in edge computing for 6g-enabled massive internet of things.
IEEE Internet of Things Journal, 8(7), 5298–5308. https://doi.
org/10.1109/JIOT.2020.3033298
[8] Verma, S., Kaur, S., Khan, M. A., & Sehdev, P. S. (2021). Toward green communication in 6g-enabled massive internet of things.
IEEE Internet of Things Journal, 8(7), 5408–5415. https://doi.
org/10.1109/JIOT.2020.3038804
[9] Hong, H., Zhao, J., Hong, T., & Tang, T. (2021). RadarCommunication Integration for 6G Massive IoT Services. IEEE Internet of Things Journal, 4662(c), 1–11. https://doi.org/10.1109/ JIOT.2021.3064072
[10] Jang, H. S., Jung, B. C., Quek, T. Q. S., & Sung, D. K. (2021). ResourceHopping-Based Grant-Free Multiple Access for 6G-Enabled Massive IoT Networks. IEEE Internet of Things Journal, 8(20), 15349–15360. https://doi.org/10.1109/JIOT.2021.3064872
[11] Sodhro, A. H., Zahid, N., Wang, L., Pirbhulal, S., Ouzrout, Y., Sekhari Seklouli, A., Lira Neto, A. V., MacEdo, A. R. L. D., & Albuquerque, V. H. C. D. (2021). Toward ML-Based EnergyEfficient Mechanism for 6G Enabled Industrial Network in Box Systems. IEEE Transactions on Industrial Informatics, 17(10), 7185–7192. https://doi.org/10.1109/TII.2020.3026663
[12] Y. Liu, Y. Li, Y. Niu, and D. Jin, “Joint optimization of path planning and resource allocation in mobile edge computing,” IEEE Transactions on Mobile Computing, 2019.
[13] Satish Kumar Nalluri, Venkata Krishna Bharadwaj Parasaram, Varun Teja Bathini. (2020). Secure Automation Frameworks for Smart Manufacturing Using Blockchain-Assisted Traceability.
International Journal of Research & Technology, 8(2), 47–53.
Retrieved from https://ijrt.org/j/article/view/879
[14] Hussein, M. K., &Mousa, M. H. (2020). Efficient task offloading for IoT-Based applications in fog computing using ant
colony optimization. IEEE Access, 8, 37191–37201. https://doi.org/10.1109/ACCESS.2020.2975741