WSN-IoT Integration with Artificial Intelligence: Research Opportunities and Challenges

Author:

Shrivastav KhyatiORCID,Battula Ramesh B.ORCID

Publisher

Springer Nature Singapore

Reference35 articles.

1. Salah ud din M, Rehman MAU, Ullah R, Park CW, Kim DH, Kim B (2021) Improving resource-constrained IoT device lifetimes by mitigating redundant transmissions across heterogeneous wireless multimedia of things. Digital Commun Netw Elsevier J 1–17

2. Keshari SK, Kansal V, Kumar S (2021) A cluster based intelligent method to manage load of controllers in SDN-IOT networks for smart cities. Scalable Comput: Pract Experience 22(2):247–257

3. Barshandeh S, Masdari M, Dhiman G, Hosseini V, Singh KK (2021) A range-free localization algorithm for IoT networks. Int J Intell Syst 1–44

4. Sharma P, Jain S, Gupta S, Chamola V (2021) Role of machine learning and deep learning in securing 5G-driven industrial IoT applications. Ad Hoc Netw 123(3):1–38

5. Ketshabetswe KL, Zungeru AM, Mitengi B, Lebekwe CK, Prabaharan SRS (2021) Data compression algorithms for wireless sensor networks: a review and comparison. IEEE Access 9:136872–136891

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