Paper Info
Title
An energy efficient clustering in heterogeneous wireless sensor and actuators networks
Abstract
In this paper, we propose a clustering algorithm to enhance the performance of fixed wireless sensor and actuators networks (WSANs). In each cluster, a multi-level hierarchical structure can be applied to reduce the energy consumption. In addition to the cluster head, some nodes can be selected as intermediate nodes, each of which manages a subcluster, according to their positions. Intermediate nodes aggregate data from general nodes and send them to the cluster head. The selection of intermediate nodes to optimize energy consumption can be considered as mixed-integer linear programming having high computational complexity; consequently, a lowest energy path searching algorithm is proposed to shorten the computational time. Simulation results indicate the potential to prolong network lifetime in WSANs.
Year
DOI
Venue
2012
10.1109/GLOCOMW.2012.6477628
GLOBECOM Workshops
Keywords
Field
DocType
multilevel hierarchical structure,computational time,network lifetime,energy path searching algorithm,pattern clustering,performance enhancement,energy consumption reduction,cluster head,wsan,integer programming,intermediate nodes,linear programming,search problems,computational complexity,wireless sensor and actuators networks,energy efficient clustering,wireless sensor networks,general nodes,mixed-integer linear programming
Key distribution in wireless sensor networks,Search algorithm,Computer science,Real-time computing,Hierarchical network model,Mobile wireless sensor network,Cluster analysis,Energy consumption,Wireless sensor network,Computational complexity theory
Conference
ISSN
ISBN
Citations 
2166-0069
978-1-4673-4940-6
2
PageRank 
References 
Authors
0.37
4
2
Name
Order
Citations
PageRank
Pham Tran Anh Quang11149.13
D. Kim228535.51