Comparative Study of Sleep Mode Interleaving and Energy Efficiency Substream Allocation Algorithm
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2014, Vol 9, Issue 3
Abstract
This paper deals with algorithms which provides solutions to energy saving. Energy saving is affected by the frequency allocation of bandwidth mechanisms. This problem is solved by two methods. First one is novel sleep-mode interleaving algorithms. In this algorithm adjust the sleep mode parameter. This algorithm guarantees the bandwidth efficiency of the audio video files. Second one is Energy efficiency substream selection algorithm. This algorithm focus on two research problems one is to Maximizes the video quality and next one is Minimize energy consumption of receivers. EESA algorithm reduces the energy consumption for receivers. The EESA algorithm transmits the selected sub-streams in bursts, so energy is saved by the receivers. Since EESA algorithm not only focuses on energy savings, quality factor is also considered. Simulation result shows that comparing the performance of these two algorithms EESA performs better.
Authors and Affiliations
V. Esakkimuthu S elvi
Keywords
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