A Heuristic Angular Clustering Framework for Secured Statistical Data Aggregation in Sensor Networks

Sensors

MohamedK. Aboudaif¹  Lalitha Krishnasamy²  Emad Abouel Nasr³  RajeshKumar Dhanaraj⁴  D. Ganesh Gopal⁴  Thippa Reddy Gadekallu⁵ 

[1] Advanced Manufacturing Institute, King Saud University, Riyadh 11421, Saudi Arabia;Department of IT, Kongu Engineering College, Tamil Nadu- 638060, India;Industrial Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia;School of Computing Science & Engineering, Galgotias University, Uttar Pradesh 203201, India;School of Information Technology and Engineering, VIT-Vellore, Tamil Nadu 632014, India;

关键词: clustering;    radial-shaped clustering;    node deployment;    energy efficiency;    routing;    sensor networks;   

DOI  :  10.3390/s20174937

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown