Title :
Energy aware waveform selection with threshold for SDR protocols switching
Author :
Putthapipat, Pasd ; Andrian, Jean H.
Author_Institution :
Dept. of Comput. Eng., Assumption Univ., Bangkok, Thailand
Abstract :
Software Defined Radio (SDR) concept is becoming the future of mobile device due to its capability of switching between multiple waveforms. However energy consumption is still one of the most critical limitations in mobile applications. SDR needs an advanced selection scheme to choose the most optimized waveform to transmit, especially in term of energy efficiency. This paper proposes to adapt a threshold technique to improve the performance of the selection algorithm.
Keywords :
energy conservation; mobile radio; optimisation; power consumption; protocols; software radio; telecommunication power management; SDR protocols switching; energy aware waveform selection; energy consumption; energy efficiency; mobile applications; mobile device; multiple waveforms; selection algorithm performance; software defined radio; threshold technique; waveform optimization; Adaptation models; Energy consumption; Protocols; Radiation detectors; Switches; Wireless sensor networks; Zigbee; Energy Aware; Power Aware Computing; Software Defined Radio (SDR);
Conference_Titel :
Electronics, Information and Communications (ICEIC), 2014 International Conference on
Conference_Location :
Kota Kinabalu
DOI :
10.1109/ELINFOCOM.2014.6914368
