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Energy-Efficient and Coverage-Guaranteed Unequal-Sized Clustering for Wireless Sensor Networks
- Source :
- IEEE Access, Vol 7, Pp 157883-157891 (2019)
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- In the last years, due to the limited resources of consumer products, energy-saving is known as one of the design challenges of Wireless Sensor Networks (WSNs). Clustering is a practical technique to enhance the performance of the network including energy efficiency, network scalability, and network easier management. In cluster-based networks, the size of clusters has a key role in the network power consumption. Non-optimized clustering results in increasing the power consumption of the whole network. The small size clusters leads to appear coverage hole in the network, as well as this property is the opposite of being the scalability of the network. In addition, in non-optimized clusters, reducing the energy consumption of the nodes as the key objective of clustering, cannot be pursued, thus the clustering will result contrary. Consequently, the energy consumption reduction after clustering can be guaranteed by considering the power consumption of nodes before clustering in cluster size optimization. Hence, in this paper, an Energy-efficient and Coverage-guaranteed Unequal-sized Clustering (ECUC) scheme is proposed which considers both energy and coverage issues simultaneously in optimizing the cluster size. Based on the simulation results, the proposed scheme remarkably enhances the network lifetime by reducing the total dissipated energy while guarantying the coverage issue.
- Subjects :
- coverage hole
clustering
cluster size
General Computer Science
Computer science
Distributed computing
General Engineering
020206 networking & telecommunications
02 engineering and technology
Energy consumption
Wireless sensor networks
Scalability
0202 electrical engineering, electronic engineering, information engineering
Key (cryptography)
Cluster (physics)
020201 artificial intelligence & image processing
General Materials Science
lcsh:Electrical engineering. Electronics. Nuclear engineering
Cluster analysis
lcsh:TK1-9971
Wireless sensor network
energy efficiency
Energy (signal processing)
Efficient energy use
Subjects
Details
- ISSN :
- 21693536
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....5e11419559b855b220ff43569c147b10