Energy optimization in WSNs employing rolling grey model

Energy optimization in WSNs employing rolling grey model

The communication subsystem in Wireless Sensor Networks (WSNs) is primarily responsible for energy consumption. This paper employs Rolling GM (1, 1) as prediction model to propose an optimal routing scheme for WSNs in terms of energy minimization. Energy efficient cluster based routing protocol with...

Full description

Saved in:
Bibliographic Details
Published in:2014 International Conference on Signal Processing and Integrated Networks (SPIN) pp. 801 - 808
Main Authors: Singh, Dhirendra Pratap, Bhateja, Vikrant, Soni, Surender Kumar
Format: Conference Proceeding
Language:English
Published: IEEE 01-02-2014
Subjects:
1) Model
Conferences
Data models
Energy consumption
Energy Optimization
First Node Dead (FND)
Half Node Dead (HND)
Predictive models
Rolling GM
Routing
Signal processing
Wireless sensor networks
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The communication subsystem in Wireless Sensor Networks (WSNs) is primarily responsible for energy consumption. This paper employs Rolling GM (1, 1) as prediction model to propose an optimal routing scheme for WSNs in terms of energy minimization. Energy efficient cluster based routing protocol with residual energy and distance based cluster head selection method are used to reduce overheads during cluster formation. Measure of FND and HND are used as parameters to evaluate the performance of the proposed method. Obtained results are better in comparison to GM (1,1) model.
DOI:10.1109/SPIN.2014.6777064