Data Aggregation in Wireless Sensor Networks Using Firefly Algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/article/10.1007/s11277-018-6021-x/fulltext.html
Reference25 articles.
1. Karthikeyan, B., Velumani, M., Kumar, R., & Inabathini, S. R. (2015). Analysis of data aggregation in wireless sensor network. In Electronics and communication systems (ICECS), 2015 2nd international conference on (pp. 1435–1439).
2. Ghaffari, A. (2015). Congestion control mechanisms in wireless sensor networks: A survey. Journal of Network and Computer Applications, 52, 101–115.
3. Kaswan, A., Nitesh, K., & Jana, P. K. (2017). Energy efficient path selection for mobile sink and data gathering in wireless sensor networks. AEU-International Journal of Electronics and Communications, 73, 110–118.
4. Ghaffari, A., & Rahmani, A. (2008). Fault tolerant model for data dissemination in wireless sensor networks. In Information technology, 2008. ITSim 2008. International symposium on (pp. 1–8).
5. KeyKhosravi, D., Ghaffari, A., Hosseinalipour, A., & Khasragi, B. A. (2010). New clustering protocol to decrease probability failure nodes and increasing the lifetime in WSNs. International Journal of Advanced Computer Technology, 2, 117–121.
Cited by 63 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. A survey on network lifetime maximization using data aggregation trees;International Journal of Communication Systems;2024-08-23
2. Hierarchical Taylor quantized kernel least mean square filter for data aggregation in wireless sensor network;International Journal of Communication Systems;2024-08-15
3. Double firefly based efficient clustering for large-scale wireless sensor networks;The Journal of Supercomputing;2024-05-28
4. Methods for aggregating multi‐source heterogeneous data in the IoT based on digital twin technology;Internet Technology Letters;2024-02-16
5. Data aggregation and routing in Mobile Ad hoc network: Introduction to Self-Adaptive Tasmanian Devil Optimization;Web Intelligence;2024-02-15
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