International Journal of Computer Networks and Applications

Open Access Open Access  Restricted Access Subscription Access

Scheduling Framework for Resource Management in IoT Ecosystem Over 5G Network


Affiliations
1 Department of Computer Science and Engineering, P.E.S. University, Bangalore, India
2 Department of Computer Science and Engineering, J.S.S. Academy of Technical Education, Bangalore, India
 

Resource management in the 5G network is one of the critical concerns which is increasingly seeking attention from the research community; however, a review of existing literature showcases very less usage of scheduling and more inclination towards sophisticated approaches of resource management which are practically infeasible to be executed over resource-constrained devices over Internet-of-Things (IoT). Therefore, the proposed scheme presents a unique framework for effective resource management in a 5G network using a unique scheduling approach. The system executes a novel routine management of time slots considering operational time and transition states of IoT nodes to balance the state of active and passive radio mode operation. The simulated outcome of the study shows that the proposed scheme offers approximately 35% of more residual energy, 47% of reduced energy dissipation, 25% of reduced delay, and 43% of faster processing speed in contrast to existing scheduling schemes in the IoT environment.

Keywords

5G, Resource Management, Scheduling, Radio Mode, Network, IoT.
User
Notifications
Font Size

  • K. Zhang, X. Lin, X. Shen, Encyclopedia of Wireless Networks, Springer International Publishing, ISBN: 9783319782614, 3319782614, 2020

  • A. Soong, R. Vannithamby, 5G Verticals-Customizing Applications, Technologies and Deployment Techniques, Wiley, ISBN: 9781119514831, 1119514835, 2020

  • S.K. Koul, Z. Wani, Novel Millimetre Wave Antennas for M.I.M.O. and 5G Applications, Springer Nature Singapore, ISBN: 9789811672781, 9811672784, 2021

  • R. Prasad, 5G: 2020 and Beyond, River Publishers, ISBN: 9781000793314, 1000793311, 2022

  • M. Peng, Z. Zhao, Y. Sun, Fog Radio Access Networks (F-RAN)-Architectures, Technologies, and Applications, Springer International Publishing, ISBN: 9783030507350, 3030507351, 2020

  • N. Kumar, A. Ahmad, "Cooperative evolution of support vector machine empowered knowledge-based radio resource management for 5G C-RAN", Elsevieer-Ad Hoc Networks, Vol.136, 2022. DOI: https://doi.org/10.1016/j.adhoc.2022.102960

  • J. Tanveer, A. Haider, R. Ali, and A. Kim, "Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey," Electronics, vol. 11, no. 1, p. 121, Dec. 2021, doi: 10.3390/electronics11010121.

  • A.K. Bhoi, P. Barsocchi, S.N. Sur, V.H. C. de Albuquerque, 5G IoT and Edge Computing for Smart Healthcare, Elsevier Science, ISBN: 9780323906647, 0323906648, 2022

  • A. Mamane, M. Fattah, M. E. Ghazi, M. E. Bekkali, Y. Balboul, and S. Mazer, "Scheduling Algorithms for 5G Networks and Beyond: Classification and Survey," in IEEE Access, vol. 10, pp. 51643-51661, 2022, doi: 10.1109/ACCESS.2022.3174579.

  • H. Zhong, R. Sun, F. Mei, Y. Chen, F. Jin, and L. Ning, "Deep Grid Scheduler for 5G NB-IoT Uplink Transmission", Hindawi-Security and Communication Networks, Article ID 5263726, 2021. DOI: https://doi.org/10.1155/2021/5263726

  • M. Jiang, K. -W. Chin, T. He, S. Soh and L. Wang, "Joint Link Scheduling and Routing in Two-Tier RF-Energy-Harvesting IoT Networks," in IEEE Internet of Things Journal, vol. 9, no. 1, pp. 800-812, 1 January 1, 2022, doi: 10.1109/JIOT.2021.3085862.

  • D. Han, X. Du, and X. Liu, "C.E.L.R.: Connectivity and Energy Aware Layering Routing Protocol for U.A.N.s," in IEEE Sensors Journal, vol. 21, no. 5, pp. 7046-7057, 1 March 1, 2021, doi: 10.1109/JSEN.2020.3039808.

  • E. Selem, M. Fatehy and S. M. A. El-Kader, "mobTHE (Mobile Temperature Heterogeneity Energy) Aware Routing Protocol for WBAN IoT Health Application," in IEEE Access, vol. 9, pp. 18692-18705, 2021, doi: 10.1109/ACCESS.2021.3054367.

  • G. Kaur, P. Chanak and M. Bhattacharya, "Energy-Efficient Intelligent Routing Scheme for IoT-Enabled W.S.N.s," in IEEE Internet of Things Journal, vol. 8, no. 14, pp. 11440-11449, 15 July 15, 2021, doi: 10.1109/JIOT.2021.3051768.

  • M. Zhu, L. Chang, N. Wang, and I. You, "A Smart Collaborative Routing Protocol for Delay Sensitive Applications in Industrial IoT," in IEEE Access, vol. 8, pp. 20413-20427, 2020, doi: 10.1109/ACCESS.2019.2963723.

  • Z. Yang, H. Liu, Y. Chen, X. Zhu, Y. Ning, and W. Zhu, "UEE-RPL: A UAV-Based Energy Efficient Routing for Internet of Things," in IEEE Transactions on Green Communications and Networking, vol. 5, no. 3, pp. 1333-1344, Sept. 2021, doi: 10.1109/TGCN.2021.3085897.

  • S. Ghosh, T. Dagiuklas, M. Iqbal and X. Wang, "A Cognitive Routing Framework for Reliable Communication in IoT for Industry 5.0," in IEEE Transactions on Industrial Informatics, vol. 18, no. 8, pp. 5446-5457, Aug. 2022, doi: 10.1109/TII.2022.3141403.

  • I. U. Khan, I. M. Qureshi, M. A. Aziz, T. A. Cheema, and S. B. H. Shah, "Smart IoT Control-Based Nature Inspired Energy Efficient Routing Protocol for Flying Ad Hoc Network (F.A.N.E.T.)," in IEEE Access, vol. 8, pp. 56371-56378, 2020, doi: 10.1109/ACCESS.2020.2981531.

  • P. Chanak and I. Banerjee, "Congestion Free Routing Mechanism for IoT-Enabled Wireless Sensor Networks for Smart Healthcare Applications," in IEEE Transactions on Consumer Electronics, vol. 66, no. 3, pp. 223-232, Aug. 2020, doi: 10.1109/TCE.2020.2987433.

  • R. Narayanan and C. S. R. Murthy, "A Routing Framework With Protocol Conversions Across Multiradio IoT Platforms," in IEEE Internet of Things Journal, vol. 8, no. 6, pp. 4417-4432, 15 March 15, 2021, doi: 10.1109/JIOT.2020.3028239.

  • N. R. Patel, S. Kumar, and S. K. Singh, "Energy and Collision Aware W.S.N. Routing Protocol for Sustainable and Intelligent IoT Applications," in IEEE Sensors Journal, vol. 21, no. 22, pp. 25282-25292, 15 Nov.15, 2021, doi: 10.1109/JSEN.2021.3076192.

  • Z. Li, W. Su, M. Xu, R. Yu, D. Niyato and S. Xie, "Compact Learning Model for Dynamic Off-Chain Routing in Blockchain-Based IoT," in IEEE Journal on Selected Areas in Communications, vol. 40, no. 12, pp. 3615-3630, Dec. 2022, doi: 10.1109/JSAC.2022.3213283.

  • M. Mahyoub, A. S. Hasan Mahmoud, M. Abu-Amara and T. R. Sheltami, "An Efficient RPL-Based Mechanism for Node-to-Node Communications in IoT," in IEEE Internet of Things Journal, vol. 8, no. 9, pp. 7152-7169, 1 May 1, 2021, doi: 10.1109/JIOT.2020.3038696.

  • A. Vaezian and Y. Darmani, "MSE-RPL: Mobility Support Enhancement in R.P.L. for IoT Mobile Applications," in IEEE Access, vol. 10, pp. 80816-80832, 2022, doi: 10.1109/ACCESS.2022.3194273.

  • R. -G. Tsai, P. -H. Tsai, G. -R. Shih and J. Tu, "R.P.L. Based Emergency Routing Protocol for Smart Buildings," in IEEE Access, vol. 10, pp. 18445-18455, 2022, doi: 10.1109/ACCESS.2022.3150928.

  • A. Mohammadsalehi, B. Safaei, A. M. H. Monazzah, L. Bauer, J. Henkel, and A. Ejlali, "ARMOR: A Reliable and Mobility-Aware R.P.L. for Mobile Internet of Things Infrastructures," in IEEE Internet of Things Journal, vol. 9, no. 2, pp. 1503-1516, 15 January 15, 2022, doi: 10.1109/JIOT.2021.3088346.

  • P. Chithaluru, S. Kumar, A. Singh, A. Benslimane and S. K. Jangir, "An Energy-Efficient Routing Scheduling Based on Fuzzy Ranking Scheme for Internet of Things," in IEEE Internet of Things Journal, vol. 9, no. 10, pp. 7251-7260, 15 May 15, 2022, doi: 10.1109/JIOT.2021.3098430.

  • P. Ekler, J. Levendovszky and D. Pasztor, "Energy Aware IoT Routing Algorithms in Smart City Environment," in IEEE Access, vol. 10, pp. 87733-87744, 2022, doi: 10.1109/ACCESS.2022.3199757.

  • S. Xu, X. Wang, G. Yang, J. Ren, and S. Wang, "Routing optimization for cloud services in SDN-based Internet of Things with T.C.A.M. capacity constraint," in Journal of Communications and Networks, vol. 22, no. 2, pp. 145-158, April 2020, doi: 10.1109/JCN.2020.000006.

  • Z. Ding, L. Shen, H. Chen, F. Yan, and N. Ansari, "Energy-Efficient Relay-Selection-Based Dynamic Routing Algorithm for IoT-Oriented Software-Defined W.S.N.s," in IEEE Internet of Things Journal, vol. 7, no. 9, pp. 9050-9065, Sept. 2020, doi: 10.1109/JIOT.2020.3002233.

  • K. Subhas, L. Arockian, "A Survey on Issues and Challenges in R.P.L. Based Routing for IoT," Annals of R.S.C.B, Vol. 25, Issue 5, pp.501-510, 2021

  • A. B. Khalifa, "Medium Access Control Layer for Dedicated IoT Networks," Doctoral Thesis, NSALyon,2020

  • A. Zeb, S. Wakeel, T. Rahman, I. Khan, M.I. Uddin, and B. Niazi, "Energy-Efficient Cluster Formation in IoT-Enabled Wireless Body Area Network," Hindawi-Computational Intelligence and Neuroscience, Volume 2022, Article ID 2558590, 11 pages, https://doi.org/10.1155/2022/2558590

  • X. Dua, Z. Zhoua, Y. Zhang, "Energy-Efficient Data Aggregation Through the Collaboration of Cloud and Edge Computing in the Internet of Thing's Networks," Elsevier-ScienceDirect, vol.174, pp.269-275, 2020.


Abstract Views: 178

PDF Views: 1




  • Scheduling Framework for Resource Management in IoT Ecosystem Over 5G Network

Abstract Views: 178  |  PDF Views: 1

Authors

Gauri S. Rapate
Department of Computer Science and Engineering, P.E.S. University, Bangalore, India
N C Naveen
Department of Computer Science and Engineering, J.S.S. Academy of Technical Education, Bangalore, India

Abstract


Resource management in the 5G network is one of the critical concerns which is increasingly seeking attention from the research community; however, a review of existing literature showcases very less usage of scheduling and more inclination towards sophisticated approaches of resource management which are practically infeasible to be executed over resource-constrained devices over Internet-of-Things (IoT). Therefore, the proposed scheme presents a unique framework for effective resource management in a 5G network using a unique scheduling approach. The system executes a novel routine management of time slots considering operational time and transition states of IoT nodes to balance the state of active and passive radio mode operation. The simulated outcome of the study shows that the proposed scheme offers approximately 35% of more residual energy, 47% of reduced energy dissipation, 25% of reduced delay, and 43% of faster processing speed in contrast to existing scheduling schemes in the IoT environment.

Keywords


5G, Resource Management, Scheduling, Radio Mode, Network, IoT.

References





DOI: https://doi.org/10.22247/ijcna%2F2023%2F218515