IHEE: An Improved Hybrid Energy Efficient Algorithm for WSN
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-73103-8_19
Reference20 articles.
1. Jan, B., Farman, H., Javed, H., Montrucchio, B., Khan, M., Ali, S.: Energy efficient hierarchical clustering approaches in wireless sensor networks: a survey. Wirel. Commun. Mob. Comput. 2017, 1–14 (2017). https://doi.org/10.1155/2017/6457942
2. Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, Maui, HI, USA, vol.1, p. 10 (2000) https://doi.org/10.1109/HICSS.2000.926982
3. Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: An application-specific protocol architecture for wireless microsensor networks. IEEE Trans. Wirel. Commun. 1(4), 660–670 (2002). https://doi.org/10.1109/TWC.2002.804190
4. Wang, N., Zhu, H.: An energy efficient algrithm based on LEACH protocol. In: 2012 International Conference on Computer Science and Electronics Engineering, Hangzhou, Zhejiang, China, pp. 339–342 (2012). https://doi.org/10.1109/ICCSEE.2012.150
5. Farooq, M.O., Dogar, A.B., Shah, G.A.: MR-LEACH: multi-hop routing with low energy adaptive clustering hierarchy. In: 2010 Fourth International Conference on Sensor Technologies and Applications, Venice, Italy, pp. 262–268 (2010). https://doi.org/10.1109/SENSORCOMM.2010.48
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. Machine learning‐based clustering protocols for Internet of Things networks: An overview;International Journal of Communication Systems;2023-04-02
2. A Green and Scalable Clustering for Massive IoT Sensors with Selective Deactivation;Ubiquitous Networking;2023
3. An Agile AI and IoT-Augmented Smart Farming: A Cost-Effective Cognitive Weather Station;Agriculture;2021-12-29
4. EACA: An Energy Aware Clustering Algorithm for Wireless IoT Sensors;2021 28th International Conference on Telecommunications (ICT);2021-06-01
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