A Novel Water Quality Monitoring System Based on Solar Power Supply & Wireless Sensor Network
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference7 articles.
1. Sankarasubramaniam and E. Cayirci, “Wireless sensor networks: a survey;Akyildiz;Computer Networks,2002
2. Tuan Le Dinh; Wen Hu; Sikka P.; Corke P.; Overs L.; Brosnan S, “Design and Deployment of a Remote Robust Sensor Network: Experiences from an Outdoor Water Quality Monitoring Network,” Local Computer Networks, 32nd IEEE Conference on, pp 799-806, 2007.
3. Puccinelli, D.; Haenggi, M., “Wireless sensor networks: applications and challenges of ubiquitous sensing,” Circuits and Systems Magazine, IEEE, Vol.5, Issue 3, 2005.
4. Alan Mainwaring, Joseph Polastre, Robert Szewczyk, David Culler, and John Anderson, “Wireless Sensor Networks for Habitat Monitoring.” Proc. First ACM International Workshop on Wireless Sensor Networks and Applications, Atlanta, Georgia, USA,;1; 2002.
5. Taneja, J.; Jaein Jeong; Culler, D, “Design, Modeling, and Capacity Planning for Micro-solar Power Sensor Networks” Information Processing in Sensor Networks, 2008. IPSN’ 08. International Conference on, pp407-418.
Cited by 19 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. Toward Real‐Time Water Quality Monitoring Using Wireless Sensor Networks;Sensing Technologies for Real Time Monitoring of Water Quality;2023-08-31
2. Intelligent water quality monitoring using WSN and Machine Learning Approaches;2023 the 7th International Conference on Information System and Data Mining (ICISDM);2023-05-10
3. Implementation of microcontroller based water theft identification and quality monitoring system;Proceeding of 2nd International Colloquium on Computational & Experimental Mechanics (ICCEM 2021);2022
4. Detection of Some Water Elements Based on IoT: Review Study;IoT and Smart Devices for Sustainable Environment;2022
5. The Mobile Water Quality Monitoring System Based on Low-Power Wide Area Network and Unmanned Surface Vehicle;Wireless Communications and Mobile Computing;2021-10-21
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