Performance study of wireless sensor and actuator networks in forest fire scenarios
Author:
Affiliation:
1. Department of Telecommunications; AGH University of Science and Technology; Al. Mickiewicza 30; 30-059 Krakow; Poland
2. Institute of Informatics and Applications; University of Girona; Edifici P-IV, Campus de Montilivi; 17071 Girona; Spain
Publisher
Wiley
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/dac.2311/fullpdf
Reference61 articles.
1. Forest fires and climate change in the 21st century;Flannigan;Mitigation and Adaptation Strategies for Global Change,2006
2. Kulakowski P Calle E Marzo JL A battle for a forest: 3-layered model of fire-fighters actions based on limited information gathered by a wireless sensor network Proceedings of the Summer Simulation Multiconference 2010 9 10
3. Kulakowski P Calle E Marzo JL Sensors-actuators cooperation in WSANs for fire-fighting applications 6th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) 2010 726 732
4. Protocols for self-organization of a wireless sensor network;Sohrabi;IEEE Personal Communications,2000
5. Wireless sensor networks: a survey;Akyildiz;Computer Networks,2002
Cited by 40 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. Integrating Machine Learning and a Spatial Contextual Algorithm to Detect Wildfire from Himawari-8 Data in Southwest China;Forests;2023-04-28
2. Blockchain-Based Supply Chain System for Olive Fields Using WSNs;Computational Intelligence and Neuroscience;2022-09-23
3. Increase of the Lifetime of Wireless Sensor Network using Clustering Algorithm and Optimal Path Selection Method;Radioengineering;2022-09
4. Enhanced interpolation with semi-supervised algorithm and greedy forwarding technique for forest fire prediction over wireless sensor and actuator networks;Wireless Networks;2022-08-04
5. Cellular Learning Automata: Review and Future Trend;Computational Vision and Bio-Inspired Computing;2022
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