Efficient whale optimisation algorithm-based SDN clustering for IoT focused on node density-Reference-Cited by-同舟云学术

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Efficient whale optimisation algorithm-based SDN clustering for IoT focused on node density

Published:2017-06 Issue: Volume: Page:
ISSN:
Container-title:2017 16th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net)
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Author:

Al-Janabi T. A.,Al-Raweshidy H. S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8000696/8001634/08001651.pdf?arnumber=8001651

Cited by 15 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. A Pragmatic Review of QoS Optimisations in IoT Driven Networks;Wireless Personal Communications;2024-07

2. A novel energy-aware method for clustering and routing in IoT based on whale optimization algorithm & Harris Hawks optimization;Computing;2024-02-03

3. Energy-Efficient Routing in Wireless Sensor Networks: A Meta-heuristic and Artificial Intelligence-based Approach: A Comprehensive Review;Archives of Computational Methods in Engineering;2024-01-02

4. SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm;PeerJ Computer Science;2023-07-10

5. Unlocking the power of mist computing through clustering techniques in IoT networks;Internet of Things;2023-07

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