.png){kind=icon}
返回
A Heuristic Angular Clustering Framework for Secured Statistical Data Aggregation in Sensor Networks
.png){kind=icon}
OA
AI
DOI：10.3390/s20174937.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Clustering in wireless sensor networks plays a vital role in solving energy and scalability issues. Although multiple deployment structures and cluster shapes have been implemented, they sometimes fail to produce the expected outcomes owing to different geographical area shapes. This paper proposes a clustering algorithm with a complex deployment structure called radial-shaped clustering (RSC). The deployment structure is divided into multiple virtual concentric rings, and each ring is further divided into sectors called clusters. The node closest to the midpoint of each sector is selected as the cluster head. Each sector's data are aggregated and forwarded to the sink node through angular inclination routing. We experimented and compared the proposed RSC performance against that of the existing fan-shaped clustering algorithm. Experimental results reveal that RSC outperforms the existing algorithm in scalability and network lifetime for large-scale sensor deployments.
Keyword:
clustering
radial-shaped clustering
node deployment
energy efficiency
routing
sensor networks
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:
3.5
论文数:
7.2W
被引数:
20.9W
机构
引用论文
Multimedia big data computing and Internet of Things applications: A taxonomy and process model
PREAI
分享收藏HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networksHEED: 一种用于ad hoc传感器网络的混合，节能，分布式分簇方法
OAAI
OAAI分享收藏A wireless sensing system for monitoring the workplace environment of an industrial installation
PREAI
分享收藏Grid-Based Hybrid Network Deployment Approach for Energy Efficient Wireless Sensor Networks.png)
sensorsOAAI
sensorsIF1.1
OAAI分享收藏
查看更多内容