Determination of Cost-Efficient Bandwidths of Multicast Algorithms through Data Envelopment Analysis using Variable Return to Scale Model
Journal Title: Scholars Journal of Engineering and Technology - Year 2016, Vol 4, Issue 1
Abstract
Abstract: In this paper, Data Envelopment Analysis (DEA) was applied using Variable Return to Scale (VRS) model to determine bandwidth consumption of two algorithms during video conferencing over wireless network. Recent researches conducted focused on Constant Return to Scale (CRS) model where all Decision Making Units (DMUs) are operating at an optimal scale. DEA employing VRS was used on simulation results of Improved Network Coding Algorithms (INCAs) of two and three parameters to determine the better coding algorithm. The two Simulation results showed that, the INCA with three parameters is more efficient than the INCA with two parameters. This is ascertained from the mean efficiency of INCA with three parameters which are; 0.941, 0.934 and 0.812 for 20, 50 and 60 nodes generated at random when compared with mean efficiency of 0.847, 0.909 and 0.801 for INCA with two parameters using the same number of nodes generated at random. Keywords: Variable Return to Scale, Data Envelopment Analysis, Efficiency, Decision Making Units and Video conferencing.
Authors and Affiliations
Joseph Stephen Soja, Abdoulie Momodou Sunkary Tekanayi, Iliya Tizhe Thuku, Adewale Emmanuel Adedokun, Mohammed Mijinyawa, Bashira Yahaya, Zainab Mukhtar Abubakarand, Oguchi Akudo Nwogu
Keywords
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