Energy-Efficient Optimization-Based Routing Technique for Wireless Sensor Network Using Machine Learning
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-2414-1_56
Reference24 articles.
1. Mishra, B.B., Dehuri, S., Panigrahi, B.K., Nayak, A.K., Mishra, B.S.P., Das, H. (eds.): Computational Intelligence in Sensor Networks. Springer (2019)
2. Diwakaran, S., Perumal, B., Devi, K.V.: A cluster prediction model-based data collection for energy efficient wireless sensor network. J. Supercomput. 75, 3302–3316 (2019). https://doi.org/10.1007/s11227-018-2437-z
3. Lee, J.S., Cheng, W.L.: Fuzzy-logic-based clustering approach for wireless sensor networks using energy predication. IEEE Sens. J. 12(9), 2891–2897 (2012)
4. Izadi, D., Abawajy, J., Ghanavati, S.: An alternative clustering scheme in WSN. IEEE Sens. J. 15(7), 4148–4155 (2015)
5. Bagci, H., Yazici, A.: An energy aware fuzzy approach to unequal clustering in wireless sensor networks. Appl. Soft Comput. 13(4), 1741–1749 (2013)
Cited by 9 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. Smart Energy Guardians: Neural Network Empowered Routing in Wireless Sensor Networks for IoT;2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon);2023-08-18
2. Queries stream optimization in wireless sensor network with machine learning;2023 International Wireless Communications and Mobile Computing (IWCMC);2023-06-19
3. Energy-Efficient Data Aggregation and Cluster-Based Routing in Wireless Sensor Networks Using Tasmanian Fully Recurrent Deep Learning Network with Pelican Variable Marine Predators Algorithm;Journal of Interconnection Networks;2023-04-21
4. Performance Analysis of Deep Learning-Based Routing Protocol for an Efficient Data Transmission in 5G WSN Communication;IEEE Access;2022
5. Application of the Internet of Things (IoT) in Biomedical Engineering: Present Scenario and Challenges;Internet of Things and Its Applications;2021-11-26
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3