DocumentCode
3527493
Title
Energy Efficient Election Probability and Cluster Head Selection for Enhancement of SEP-E in Wireless Sensor Networks
Author
Singh, Sushil ; Singh, Karam
Author_Institution
E.C.E. Dept., G.N.D.E.C., Ludhiana, India
fYear
2013
fDate
21-23 Dec. 2013
Firstpage
82
Lastpage
86
Abstract
Wireless sensor networks emerges as new technology to monitor physical world. In this paper, energy efficient protocol ESEP-E is proposed for heterogeneous clustered wireless sensor networks which is enhancement of SEP-E[1], Basically in proposed protocol the optimal number of cluster heads are elected in every round which are required number of cluster heads that is we need more number of cluster head in starting of network operation and less cluster head nodes as network evolves which is discussed in section II(A), to extend lifetime as verified by simulation results in section III, while number of cluster heads are fixed in base protocol SEP-E, that is in this proposed protocol the optimal number of clusters head nodes with nodes remaining energy is studied as compared to SEP-E[1]. Then there is comparative analysis of proposed protocol is done with HET-LEACH, SEP-E, with different parameters of heterogeneity. The detailed study concludes that there is percentage improvement of 29% and 36% in FND (first node dies), HNA (half of node alive) in case of ESEP-E as compared to SEP-E [1]. Proposed Protocol ESEP-E is enhancement of SEP-E protocol proposed by A. FEMI [1] in his Master´s thesis work in 2010.
Keywords
energy conservation; probability; protocols; telecommunication power management; wireless sensor networks; ESEP-E; FND; HET-LEACH; HNA; cluster head selection; energy efficient election probability; energy efficient protocol; first node dies; half of node alive; heterogeneous clustered wireless sensor networks; network operation; Energy consumption; Energy efficiency; Machine intelligence; Magnetic heads; Protocols; Simulation; Wireless sensor networks; Clustering; first node dies; heterogeneous network; lifetime;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Intelligence and Research Advancement (ICMIRA), 2013 International Conference on
Conference_Location
Katra
Type
conf
DOI
10.1109/ICMIRA.2013.22
Filename
6918799
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