Title :
EEFA: Energy efciency frame aggregation scheduling algorithm for IEEE 802.11n wireless network
Author :
Ge Zhihui ; Liang Anzhong ; Li Taoshen
Author_Institution :
Sch. of Comput., Guangxi Univ., Nanning, China
Abstract :
Packet size is restricted due to the error-prone wireless channel which drops the network energy utilization. Furthermore, the frequent packet retransmissions also lead to energy waste. In order to improve the energy efficiency of wireless networks and save the energy of wireless devices, EEFA (Energy Efficiency Frame Aggregation), a frame aggregation based energy-effcient scheduling algorithm for IEEE 802.11n wireless network, is proposed. EEFA changes the size of aggregated frame dynamically according to the frame error rate, so as to ensure the data transmission and retransmissions completed during the TXOP and reduce energy consumption of channel contention. NS2 simulation results show that EEFA algorithm achieves better performance than the original frame-aggregation algorithm.
Keywords :
energy conservation; energy consumption; scheduling; telecommunication power management; telecommunication standards; wireless LAN; wireless channels; IEEE 802.11n wireless network; NS2 simulation; TXOP; channel contention; data retransmissions; data transmission; energy consumption; energy efficiency frame aggregation scheduling algorithm; error-prone wireless channel; frame error rate; network energy utilization; packet retransmissions; wireless devices; Algorithm design and analysis; Bit error rate; Energy consumption; Energy efficiency; IEEE 802.11n Standard; Wireless networks; IEEE 802.11n; WLAN; energy efficiency; frame aggregation; packet size; retransmission;
Journal_Title :
Communications, China
DOI :
10.1109/CC.2014.6825255