Energy efficiency and QoS optimisations of IEEE 802.11 communications using frame aggregation

2006 ◽  
Vol 1 (3/4) ◽  
pp. 229 ◽  
Author(s):  
Jean Lorchat ◽  
Thomas Noel
Keyword(s):  
Energy Efficiency ◽  
Ieee 802.11 ◽  
Frame Aggregation

scholarly journals Improving Energy Efficiency in Idle Listening of IEEE 802.11 WLANs

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Muhammad Adnan ◽  
Eun-Chan Park
Keyword(s):  
Energy Efficiency ◽  
Ieee 802.11 ◽  
Power Saving ◽  
Local Area ◽  
Contention Window ◽  
Channel Access ◽  
Analysis Model ◽  
Frame Aggregation ◽  
Improve Energy Efficiency ◽  
Idle Listening

This paper aims to improve energy efficiency of IEEE 802.11 wireless local area networks (WLANs) by effectively dealing with idle listening (IL), which is required for channel sensing and is unavoidable in a contention-based channel access mechanism. Firstly, we show that IL is a dominant source of energy drain in WLANs and it cannot be effectively alleviated by the power saving mechanism proposed in the IEEE 802.11 standard. To solve this problem, we propose an energy-efficient mechanism that combines three schemes in a systematic way: downclocking, frame aggregation, and contention window adjustment. The downclocking scheme lets a station remain in a semisleep state when overhearing frames destined to neighbor stations, whereby the station consumes the minimal energy without impairing channel access capability. As well as decreasing the channel access overhead, the frame aggregation scheme prolongs the period of semisleep time. Moreover, by controlling the size of contention window based on the number of stations, the proposed mechanism decreases unnecessary IL time due to collision and retransmission. By deriving an analysis model and performing extensive simulations, we confirm that the proposed mechanism significantly improves the energy efficiency and throughput, by up to 2.8 and 1.8 times, respectively, compared to the conventional power saving mechanisms.

scholarly journals Improving the energy efficiency of VoIP applications in IEEE 802.11 networks through control of the packetization rate

2017 ◽  
Author(s):  
Rafael Estepa ◽  
Antonio Estepa ◽  
Germán Madinabeitia ◽  
Mark Davis
Keyword(s):  
Energy Efficiency ◽  
Ieee 802.11 ◽  
Rate Control ◽  
Control Algorithm ◽  
Energy Savings ◽  
Dynamic Selection ◽  
802.11 Networks ◽  
Ieee 802.11 Networks ◽  
Rate Control Algorithm ◽  
Selection Of

This paper presents an adaptive algorithm that improves the energy efficiency of VoIP applications over IEEE 802.11 networks. The algorithm seeks to achieve the largest energy savings subject to reaching a minimum speech quality under the prevailing network conditions. The control mechanism used is the dynamic selection of the packet size during the communication.This algorithm has been implemented in an experimental testbed and the results demonstrate that our packetization rate control algorithm can provide energy savings in uncongested IEEE 802.11 networks (up to 30%). Furthermore, under poor network conditions the algorithm can prolong the duration of the call before it is dropped at the expense of a higher energy consumption.

scholarly journals On the energy efficiency of IEEE 802.11 WLANs

2010 ◽  
Author(s):  
Pablo Serrano ◽  
Andres Garcia-Saavedra ◽  
Matthias Hollick ◽  
Albert Banchs
Keyword(s):  
Energy Efficiency ◽  
Ieee 802.11 ◽  
802.11 Wlans

Adaptive Traffic-Aware PSM Mechanism for IEEE 802.11 WLANs

2014 ◽  
Vol 23 (4) ◽  
pp. 437-450 ◽  
Author(s):  
Yi Xie ◽  
Xilong Sun ◽  
Pengfei Yuan ◽  
Xijian Chen
Keyword(s):  
Energy Efficiency ◽  
Ieee 802.11 ◽  
Network Traffic ◽  
Access Point ◽  
Local Area ◽  
Limited Range ◽  
Traffic Load ◽  
Wireless Devices ◽  
Current Channel ◽  
Improve Energy Efficiency

AbstractWireless devices consume large amounts of energy during wireless communication. As the energy storage of battery is limited, improving energy efficiency has become an important approach to prolong the lifetime of devices. The IEEE 802.11 protocol supports the power save mode (PSM) in wireless local area networks (WLANs). However, the standard PSM cannot adapt to the changes of traffic load or channel conditions. Therefore, this article proposes an adaptive traffic-aware PSM mechanism (APSM) that improves energy efficiency of wireless devices in a WLAN with an access point (AP). According to the current channel condition and traffic load, the AP adjusts the interval of beacons that give devices different priorities to fetch buffered packets. The devices can adaptively adjust listening intervals according to network traffic, and adopt different congestion backoff timers when channel collisions happen or the network topology changes. The APSM has been implemented and evaluated in NS-2. The simulation results have shown that devices using the APSM can improve energy efficiency by 115% at most compared with the ones using the standard PSM. The benefit of adaptive beacon interval and listening intervals is significant, while the improvement due to the adaptive backoff timer is minor. The improvement of the APSM over the PSM is more significant when the network traffic level decreases and the ratio of idle power to sleeping power increases. Additionally, the APSM increases the delay of data frames within a limited range, which does not bring any bad effect on network throughput.

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