ENHANCING EGRC USING ANOVA BASED CLUSTERING IN UNDERWATER SENSOR NETWORKS
Journal Title: GRD Journal for Engineering - Year 2016, Vol 1, Issue 0
Abstract
As reliability and efficient data transmission is the challenging factor in underwater sensor network, the application such as monitoring abnormal submarine pipelines becomes complex. Thus in the existing EGRC, the whole network which can be viewed as big cube is divided into small cube (SC) where SC is a cluster. To enhance the selection of optimal cluster-heads, we propose a new methodology DUAC which combines EGRC with ANOVA based clustering. In DUAC the node generating identical data sets are identified and aggregated the sets before sending them to the sink. Analysis and implementation results of DUAC enhance EGRC in terms of energy efficiency, reliability, end-to-end delay and power consumption.
Authors and Affiliations
M. Raghini, S. Lavanya, G. Nivetha, R. Priya Dharshini
Keywords
Related Articles
- EP ID EP303004
- DOI -
- Views 120
- Downloads 0
Hyperspectral Image Denoising by using Hybrid Thresholding Spatio Spectral Total Variation
This paper introduces a hyperspectral denoising algorithm hinged on hybrid spatio-spectral total variation. The denoising issue have been hatched as a mixed noise diminution issue. A prevalent noise model has been ponder...
Solid Waste - Is It A Trash or A Value-Able Resource
Managing solid waste is one of biggest challenges of the urban areas, ranging from mega-cities to towns and villages. Managing this solid waste is the most challenging problems for every city managers and authorities. Th...
Methods for Optimization of Signal Cycle Length
Traffic on the existing road is increasing due to rapid urbanization and industrialization due to extreme growth of vehicles all over the world. Due to this, some problems like congestion, delay and pollution remain a bi...
Optimization of Coal Transportation Cost for NTPC Owned Power Stations
The demand for electricity has been rising at an exponential rate since Independence. Though the power generation has increased manifold over these years, but it has not been able to keep pace with the increasing demand....
Region growth based segmentation to improve the porosity of Cu - (5–20%) W composite preforms
While preparing the composite preform in the powder metallurgy Lab, the various defects due to porosity, open crack and residual stresses are possible. This may lead to poor life and strength of materials. It is difficul...