A genetic algorithm based energy efficient group paging approach for IoT over 5G

Author:

Pradhan Buddhadeb,Vijayakumar V.,Pratihar SanjoyORCID,Kumar Deepak,Reddy K. Hemant KumarORCID,Roy Diptendu SinhaORCID

Publisher

Elsevier BV

Subject

Hardware and Architecture,Software

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mobile Subscriber Location Estimation based on Logistic Regression for Enhancement of Paging Procedure in 5G and beyond Networks;2024 Tenth International Conference on Communications and Electronics (ICCE);2024-07-31

2. Service delay and optimization of the energy efficiency of a system in fog-enabled smart cities;Alexandria Engineering Journal;2023-12

3. A Review on Discontinuous Reception Mechanism as a Power Saving Approach for 5G User Equipments at Millimetre-Wave Frequencies;2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG);2023-04-05

4. 5GT-GAN: Enhancing Data Augmentation for 5G-Enabled Mobile Edge Computing in Smart Cities;IEEE Access;2023

5. Analysis and Comparison of Swarm Intelligence Algorithm in IoT: A Survey;Proceedings of the Third International Conference on Information Management and Machine Intelligence;2022-08-04

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