Deep Q-probabilistic algorithm based rock hyraxes swarm optimization for channel allocation in CRSN smart grids
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11276-022-02985-z.pdf
Reference39 articles.
1. Kabalci, E., & Kabalci, Y. (2019). Introduction to smart grid architecture. Smart grids and their communication systems (pp. 3–45). Springer.
2. Garau, M., et al. (2017). A 5G cellular technology for distributed monitoring and control in smart grid. 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE.
3. Al-Turjman, F., & Abujubbeh, M. (2019). IoT-enabled smart grid via SM: An overview”. Future Generation Computer Systems, 96, 579–590.
4. Kuzlu, M., Pipattanasomporn, M., & Rahman, S. (2014). Communication network requirements for major smart grid applications in HAN, NAN and WAN. Computer Networks, 67, 74–88.
5. Khan, M. W., et al. (2020). QoS-aware traffic scheduling framework in cognitive radio based smart grids using multi-objective optimization of latency and throughput. Ad Hoc Networks, 97, 102020.
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