An Energy-Efficient Clustering Protocol for the Lifetime Elongation of Wireless Sensors in IoT Networks
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-40751-2_11
Reference19 articles.
1. S.A. Abdulzahra, A.K.M. Al-Qurabat, A.K. Idrees, Compression-based data reduction technique for IoT sensor networks. Baghdad Sci. J. 18(1), 184–198 (2021)
2. F. Ahamad, R. Kumar, Energy efficient region based clustering algorithm for WSN using fuzzy logic, in 2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016—Proceedings (2017)
3. A.K.M. Al-Qurabat, A lightweight huffman-based differential encoding lossless compression technique in IoT for smart agriculture. Int. J. Comput. Digit Syst. 11(1), 117–127 (2022)
4. A.K.M. Al-Qurabat, S.A. Abdulzahra, An overview of periodic wireless sensor networks to the internet of things, in IOP Conference Series: Materials Science and Engineering, vol. 928, issue 3 (2020)
5. A.K.M. Al-Qurabat, Z.A. Mohammed, Z.J. Hussein, Data traffic management based on compression and MDL techniques for smart agriculture in IoT. Wirel. Pers. Commun. 120(3) (2021)
Cited by 4 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. An efficient energy supply policy and optimized self-adaptive data aggregation with deep learning in heterogeneous wireless sensor network;Peer-to-Peer Networking and Applications;2024-09-10
2. FONIC: an energy-conscious fuzzy-based optimized nature-inspired clustering technique for IoT networks;The Journal of Supercomputing;2024-05-29
3. Remote Disease Diagnosis through IoMT-Enhanced Blood Cell Classification with Deep Learning;The Open Biomedical Engineering Journal;2024-04-19
4. A case study on the estimation of sensor data generation in smart cities and the role of opportunistic networks in sensor data collection;Peer-to-Peer Networking and Applications;2023-12-15
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