A Heuristic Angular Clustering Framework for Secured Statistical Data Aggregation in Sensor Networks
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...
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MDPI AG
2020-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/17/4937 |
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| author | Lalitha Krishnasamy Rajesh Kumar Dhanaraj D. Ganesh Gopal Thippa Reddy Gadekallu Mohamed K. Aboudaif Emad Abouel Nasr |
| author_facet | Lalitha Krishnasamy Rajesh Kumar Dhanaraj D. Ganesh Gopal Thippa Reddy Gadekallu Mohamed K. Aboudaif Emad Abouel Nasr |
| author_sort | Lalitha Krishnasamy |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T16:41:08Z |
| format | Article |
| id | doaj.art-c53f645a81a946f5836e7149f395431b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T16:41:08Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c53f645a81a946f5836e7149f395431b2023-11-20T12:04:07ZengMDPI AGSensors1424-82202020-08-012017493710.3390/s20174937A Heuristic Angular Clustering Framework for Secured Statistical Data Aggregation in Sensor NetworksLalitha Krishnasamy0Rajesh Kumar Dhanaraj1D. Ganesh Gopal2Thippa Reddy Gadekallu3Mohamed K. Aboudaif4Emad Abouel Nasr5Department of IT, Kongu Engineering College, Tamil Nadu- 638060, IndiaSchool of Computing Science & Engineering, Galgotias University, Uttar Pradesh 203201, IndiaSchool of Computing Science & Engineering, Galgotias University, Uttar Pradesh 203201, IndiaSchool of Information Technology and Engineering, VIT-Vellore, Tamil Nadu 632014, IndiaAdvanced Manufacturing Institute, King Saud University, Riyadh 11421, Saudi ArabiaIndustrial Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi ArabiaClustering 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.https://www.mdpi.com/1424-8220/20/17/4937clusteringradial-shaped clusteringnode deploymentenergy efficiencyroutingsensor networks |
| spellingShingle | Lalitha Krishnasamy Rajesh Kumar Dhanaraj D. Ganesh Gopal Thippa Reddy Gadekallu Mohamed K. Aboudaif Emad Abouel Nasr A Heuristic Angular Clustering Framework for Secured Statistical Data Aggregation in Sensor Networks Sensors clustering radial-shaped clustering node deployment energy efficiency routing sensor networks |
| title | A Heuristic Angular Clustering Framework for Secured Statistical Data Aggregation in Sensor Networks |
| title_full | A Heuristic Angular Clustering Framework for Secured Statistical Data Aggregation in Sensor Networks |
| title_fullStr | A Heuristic Angular Clustering Framework for Secured Statistical Data Aggregation in Sensor Networks |
| title_full_unstemmed | A Heuristic Angular Clustering Framework for Secured Statistical Data Aggregation in Sensor Networks |
| title_short | A Heuristic Angular Clustering Framework for Secured Statistical Data Aggregation in Sensor Networks |
| title_sort | heuristic angular clustering framework for secured statistical data aggregation in sensor networks |
| topic | clustering radial-shaped clustering node deployment energy efficiency routing sensor networks |
| url | https://www.mdpi.com/1424-8220/20/17/4937 |
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