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6G and D2D as Enablers of the Convergence of Artificial Intelligence (AI) and Internet of Things (IoT)

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From Internet of Things to Internet of Intelligence

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Abstract

The dependencies, interdependencies, and interrelationships between artificial intelligence (AI) and Internet of Things (IoT) are discussed in this chapter. The interaction between these fields creates a new convergence that permits standardisation, interoperability, and security. The focus of this chapter is on applications, underlying technologies, 6G network systems, and D2D communication within the framework of an intelligent and integrated ecosystem for computing, communication, coordination, and decision making. This chapter highlights some of the core 6G technologies that are anticipated to make it possible for IoT and AI to seamlessly converge.

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References

  1. M.H. Adnan, A.Z. Zuriati, Device-to-device communication in 5G environment: Issues, solutions, and challenges. Symmetry 12(11), 1762–1784 (2020) Available at: https://doi.org/10.3390/sym12111762. Accessed 20 Oct 2021

    Article  Google Scholar 

  2. A. Al-Sakran, M.H. Qutqut, F. Almasalha, H.S. Hassanein, M. Hijjawi, An overview of the Internet of Things closed source operating systems, in Proceedings of the 2018 14th International Wireless Communications Mobile Computing Conference (IWCMC), Limassol, Cyprus, 25–29 June 2018, pp. 291–297

    Google Scholar 

  3. R.I. Ansari, C. Chrysostomou, S.A. Hassan, M. Guizani, S. Mumtaz, J. Rodriguez, J.J. Rodrigues, 5G D2D networks: Techniques, challenges, and future prospects. IEEE Syst. J. 12, 3970–3984 (2018)

    Article  Google Scholar 

  4. H. Bagheri, P. Sartori, V. Desai, B. Classon, M. Al-Shalash, A. Soong, Device-to-device proximity discovery for LTE systems, in IEEE International Conference on Communication Workshop, London, 8–12 June 2015, pp. 591–595

    Google Scholar 

  5. L. Bariah, L. Mohjazi, S. Muhaidat, P.C. Sofotasios, G.K. Kurt, H. Yanikomeroglu, O.A. Dobre, A prospective look: Key enabling technologies, applications and open research topics in 6G networks. IEEE Access 8, 174792–174820 (2020)

    Article  Google Scholar 

  6. S. Basharat, S. Ali Hassan, H. Pervaiz, A. Mahmood, Z. Ding, M. Gidlund, Reconfigurable intelligent surfaces: Potentials, applications, and challenges for 6G wireless networks. IEEE Wirel. Commun. 28(6), 184–191 (2021)

    Article  Google Scholar 

  7. S.K. Biswash, A. Ziviani, R. Jain, et al., Editorial: Device-to-device communication in 5G networks. Mobile Netw. Appl. 22, 995–997 (2017)

    Article  Google Scholar 

  8. X. Cai, J. Zheng, Y. Zhang, A graph colouring-based resource allocation algorithm for D2D communication in cellular networks, in Proceedings of the IEEE International Conference on Communications (ICC), London, 8–12 June 2015, pp. 5429–5434

    Google Scholar 

  9. D. Câmara, N. Nikaein, Wireless Public Safety Networks Volume 1: Overview and Challenges (Elsevier Science, Amsterdam, 2015)

    Google Scholar 

  10. A. Chaaban, A. Sezgin, Device relaying in cellular device-to-device networks: A fairness perspective, in Proceedings of the 10th International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM), Doha, 21–23 Apr 2015, Doha, Springer, pp. 654–695

    Google Scholar 

  11. B. Copeland, Artificial intelligence. Encyclopedia Britannica (2022, Aug 24). https://www.britannica.com/technology/artificial-intelligence

  12. Ericsson, 5G radio access (Ewaldsson, Stockholm, 2014)

    Google Scholar 

  13. G. Fodor, S. Parkvall, S. Sorrentino, P. Wallentin, Q. Lu, N. Brahmi, Device-to-device communications for national security and public safety. IEEE Access 2, 1510–1520 (2014)

    Article  Google Scholar 

  14. A. S. Gillis March 2022, What Is the Internet of Things (IoT)? Ultimate IoT Implementation Guide for Businesses

    Google Scholar 

  15. G. Hou, L. Chen, D2D communication mode selection and resource allocation in 5G wireless networks. Comput. Commun. 155(2020), 244–251 (2020)

    Article  Google Scholar 

  16. M. Höyhtyä, O. Apilo, M. Lasanen, Review of latest advances in 3GPP standardization: D2D communication in 5G systems and its energy consumption models. Fut. Internet 10(1), 1–18 (2018). Available at: https://doi.org/10.3390/fi10010003. Accessed 10 Aug 2022

  17. Huawei Technologies. 5G spectrum public policy position. (2017). https://www-file.huawei.com/-/media/CORPORATE/PDF/publicpolicy/public_policy_position_5g_spectrum.pdf

  18. W. Jiang, B. Han, M.A. Habibi, H.D. Schotten, The road towards 6G: A comprehensive survey. IEEE Open J. Commun. Soc. 2, 1–1 (2021)

    Article  Google Scholar 

  19. U.N. Kar, D.K. Sanyal, An overview of device-to-device communication in cellular networks. ICT Express 4(4), 203–208 (2018). Available at: https://doi.org/10.1016/j.icte.2017.08.002. Accessed 22 Oct 2020

  20. B. Kundaliya, Challenges of WSNs in IoT. IntechOpen (2020). https://doi.org/10.5772/intechopen.95352

  21. W.K. Lai, Chin-Shiuh, C. Fu-Sheng, H. Chia-Yu, S. Meng-Han, Handover management for D2D communication in 5G networks. Appl. Sci. 10(12), 4409 (2020)

    Article  Google Scholar 

  22. L. Liang, G.Y. Li, W. Xu, Resource allocation for D2D-enabled vehicular communications. IEEE Trans. Commun. 65, 3186–3197 (2017)

    Article  Google Scholar 

  23. Y.D. Lin, Y.C. Hsu, Multi-hop cellular: A new architecture for wireless communications, in Proceedings of IEEE INFOCOM, Tel Aviv, 26–30 Mar 2000, IEEE, pp. 1273–1282

    Google Scholar 

  24. J. Liu, D. Wang, J. Pang, J. Wang, G. Shen, Inter-cell interference coordination based on soft frequency reuse for relay enhanced cellular network, in Personal Indoor and Mobile Radio Communications (PIMRC), 2016 IEEE 21st International Symposium on, 4–7 Sep 2016, Valencia, IEEE, pp. 2304–2308

    Google Scholar 

  25. M.C. Lucas-Estañ, J. Gozalvez, Distributed radio resource allocation for device-to-device communications underlaying cellular networks. J. Netw. Comput. Appl. 99(2017), 120–130 (2017)

    Article  Google Scholar 

  26. P. Mach, Z. Becvar, and T. Vanek, In-band device-to-device communication in OFDMA cellular networks: A survey and challenges, IEEE Commun. Surv. Tutor 17(4), fourth quarter (2015)

    Google Scholar 

  27. Z. Meng, Z. Wu, J. Gray, A collaboration-oriented M2M messaging mechanism for the collaborative automation between machines in future industrial networks. Sensors 17(11), 2694 (2017). Available at: https://doi.org/10.3390/s17112694. Accessed 12 June 2023

  28. S. Mumtaz, K.M.S. Huq, J. Rodriguez, Coordinated paradigm for D2D communications, in Computer Communications Workshops\(INFOCOM WKSHPS), 2014 IEEE Conference on. 27 April–2 May 2014, Toronto, IEEE, pp. 718–723

    Google Scholar 

  29. W. Mwashita, M.O. Odhiambo, Interference management techniques for device-to-device communications, in Predictive Intelligence Using Big Data and the Internet of Things, ed. by P.K. Gupta, (IGI Global, Hershey, 2018), pp. 219–245

    Google Scholar 

  30. D.C. Nguyen, M. Ding, P.N. Pathirana, A.P. Seneviratne, J. Li, D.T. Niyato, O.A. Dobre, H.V. Poor, 6G Internet of Things: A comprehensive survey. IEEE Internet Things J. 9, 359–383 (2021)

    Article  Google Scholar 

  31. M. Nitti, G.A. Stelea, V. Popescu, M. Fadda, When social networks meet D2D communications: A survey. Sensors (Basel, Switzerland) 19(2), 396 (2019)

    Article  Google Scholar 

  32. V. Nurmela, P. Kyosti, A spatially consistent radio channel model enabling dual mobility, in 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall), 14–17 Sept 2014, Vancouver, pp. 1–5

    Google Scholar 

  33. A. Orsino, G. Araniti, L. Militano, J. Alonso-Zarate, A. Molinaro, A. Iera, Energy efficient IoT data collection in smart cities exploiting D2D communications. Sensors (Basel, Switzerland) 16(6), 836 (2016) Available at: https://doi.org/10.3390/s16060836 (1–19). Accessed 23 Oct 2021

    Article  Google Scholar 

  34. J. Park, Advances in future Internet and the industrial Internet of Things. Symmetry 11(2), 244 (2019). Available at: https://doi.org/10.3390/sym11020244. Accessed 12 Oct 2021

  35. A. Prasad, F.S. Moya, M. Ericson, R. Fantini, O. Bulakci, Enabling RAN moderation and dynamic traffic steering in 5G, in Proceedings of the 84th Vehicular Technology Conference, VTC-Fall, 18–21 Sep 2016, VTC-Fall, IEEE, pp. 1–6

    Google Scholar 

  36. N.K. Pratas, P. Popovski, Underlay of low-rate machine-type D2D links on downlink cellular links, in 2014 IEEE International Conference on Communications Workshops (ICC), 10–14 June 2014, Sydney, pp. 423–428

    Google Scholar 

  37. Z. Qadir, K.N. Le, N. Saeed, H.S. Munawar, Towards 6G Internet of Things: Recent advances, use cases, and open challenges. ICT Express 9(3), 296–312 (2023)

    Article  Google Scholar 

  38. K.D. Rahi, Y.M. Hasan, Utilizing device to device communication in cellular networks with the distance-based model selection method, in The International Conference on Engineering and Advanced Technology (ICEAT 2020), 11–12 Feb 2020, Assiut

    Google Scholar 

  39. G. Rigazzi, F. Chiti, R. Fantacci, C. Carlini, Multi-hop D2D networking and resource management scheme for M2M communications over LTE-A systems. Int. Wireless Commun Mobile Comput. Conf. (IWCMC) 2014, 973–978 (2014)

    Google Scholar 

  40. T.V. Santana, R. Combes, M. Kobayashi, Device-to-device aided multicasting, in 2018 IEEE International Symposium on Information Theory (ISIT), pp. 771–775 (2018)

    Google Scholar 

  41. J. Schlienz, A. Roessler, Device to Device Communication in LTE (Rohde & Schwarz, Munich, 2015), pp. 1–36

    Google Scholar 

  42. A.P. Singh, A.K. Luhach, X.-Z. Gao, S. Kumar, D.S. Roy, Evolution of wireless sensor network design from technology centric to user centric: An architectural perspective. Int. J. Distrib. Sensor Netw. 16, 1–24 (2020)

    Article  Google Scholar 

  43. M.N. Tehrani, M. Uysal, H. Yanikomeroglu, Device-to-device communications in 5G networks: Challenges, solutions, and future directions. IEEE Commun. Mag. 52(5), 86–92 (2014)

    Article  Google Scholar 

  44. The 5G Infrastructure Public Private Partnership (5G PPP). The next generation of communication networks and services. Available at: http://superfluidity.eu/wp-content/uploads/5GPPP-brochure-draft02.pdf. Accessed: 15 Oct 2020

  45. R. Vannithamby, S. Talwar, Towards 5G: Applications, Requirements and Candidate Technologies (Wiley, New Jersey, 2017)

    Google Scholar 

  46. N. Vo, T.Q. Duong, H.D. Tuan, A. Kortun, Optimal video streaming in dense 5G networks with D2D communications. IEEE Access 6, 209–223 (2018)

    Article  Google Scholar 

  47. W. Wang, H. Li, W. Zhang, S. Wei, Energy efficiency for data offloading in D2D cooperative caching networks. Wireless Commun. Mobile Comput. (2020., Article ID 2730478, 10pages, 2020). https://doi.org/10.1155/2020/2730478

  48. H. Wenjun, S. Li, Y. Sun, J. Zhou, X. Yun, N. Lu, Interference-aware subcarrier allocation for massive machine-type communication in 5G-enabled internet of things. Sensors 19(20), 4530 (2019). https://doi.org/10.3390/s19204530

    Article  Google Scholar 

  49. Z. Zhou, K. Ota, M. Dong, C. Xu, Energy-efficient matching for resource allocation in D2D enabled cellular networks. IEEE Trans. Veh. Technol. 66(6), 5256–5268 (2017). https://doi.org/10.1109/TVT.2016.2615718

    Article  Google Scholar 

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Authors and Affiliations

  1. International University of Management, Windhoek, Namibia

    Weston Mwashita

  2. Mangosuthu University of Technology, Durban, South Africa

    Marcel Ohanga Odhiambo

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  1. Weston Mwashita
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Correspondence to Weston Mwashita .

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Editors and Affiliations

  1. Mangosuthu University of Technology, Umlazi, South Africa

    Marcel Ohanga Odhiambo

  2. International University of Management, Windhoek, Namibia

    Weston Mwashita

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Mwashita, W., Odhiambo, M.O. (2024). 6G and D2D as Enablers of the Convergence of Artificial Intelligence (AI) and Internet of Things (IoT). In: Odhiambo, M.O., Mwashita, W. (eds) From Internet of Things to Internet of Intelligence. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-031-55718-7_2

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  • DOI: https://doi.org/10.1007/978-3-031-55718-7_2

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