Adaptive Coding with CPU Energy Conservation for Mobile Video Calls

Abstract

Video calling incurs very high power consumption on mobile platforms usually powered by capacity-constrained batteries. To remedy this problem, we develop a cross-layer energy-aware optimization framework to reduce CPU energy consumption for mobile video calls. We explore the texture similarity between neighboring macroblocks during H.264 coding and control the quality-complexity tradeoff with a single self-adaptive parameter. Dynamic Voltage and Frequency Scaling (DVFS) is then applied to reduce energy consumption and guarantee the stringent one-way delay in real-time applications. Experimental results show that considerable CPU energy saving is achieved while a high Quality of Service (QoS) is preserved for user satisfaction.

Challenges and Solutions for Internet of Things Driven by IPv6

“…Although it reduced power consumption, its disadvantage was lack of flexibility and scalability. Reference [6][7][8][9] proposed dynamically adjusts CPU clock frequency, research result show that these study can be obtained advantage of lower power consumption cost, but disadvantage of lack of flexibility and scalability. The proposed GreenIoT architecture in this work reduces power consumption and enhance flexibility.…”