.png){kind=icon}
返回
Mobile cluster head selection using soft computing technique in wireless sensor network
.png){kind=icon}
PRE
AI
DOI：10.1007/s00500-019-04133-w.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Wireless sensor networks generally consist of static sensor node, which can be deployed to monitor the environment. The network is built by the sensor nodes, and the data from the source reach base station by passing through a number of sensor nodes. This causes loss of energy at the sensor nodes. To reduce energy loss of the sensor nodes in WSN, cluster-based topology can be used. Sensor nodes are grouped into clusters. Each cluster contains one cluster head for effective communication. Cluster head collects the data from the sensor nodes and sends to the base station. This causes fast depletion of cluster heads energy. To overcome energy problem, we have proposed a novel mobile data gathering in WSN by soft computing-based CH selection and clustering. It is based on fuzzy inference system. The smart CH selection and vehicular data gathering reduce the time and energy loss due to uploading. Due to reduced energy loss, the lifetime of network is also increased. In this paper, we compared the smart CH selection technique with high-energy CH selection on the quality measures packet loss, collection delay, residual energy, distance travelled and network lifetime. The proposed smart CH selection-based vehicular data gathering is produced better results compared to the other methods.
Keyword:
Wireless sensor network
Mobile data gathering
Clustering
Fuzzy
Cluster head selection
Shortest route
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.5
论文数:
1.0W
被引数:
2.1W
机构
暂无机构信息
引用论文
Dimension Reduction of Channel Correlation Matrix Using CUR-Decomposition Technique for 3-D Massive Antenna System.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏Spectral Efficiency Maximization for Deliberate Clipping-Based Multicarrier Faster-Than-Nyquist SignalingIEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏Burden and trend analysis of injury mortality in China among children aged 0–14 years from 2004 to 2011BMJ OpenOAAI
BMJ OpenIF0
OAAI分享收藏Castable composites and their application in automobilesProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile EngineeringIF0
PREAI
分享收藏
查看更多内容