Title
Accurate Energy Modeling and Characterization of IEEE 802.11ah RAW and TWT.
Abstract
Minimizing the energy consumption is one of the main challenges in internet of things (IoT) networks. Recently, the IEEE 802.11ah standard has been released as a new low-power Wi-Fi solution. It has several features, such as restricted access window (RAW) and target wake time (TWT), that promise to improve energy consumption. Specifically, in this article we study how to reduce the energy consumption thanks to RAW and TWT. In order to do this, we first present an analytical model that calculates the average energy consumption during a RAW slot. We compare these results to the IEEE 802.11ah simulator that we have extended for this scope with an energy life-cycle model for RAW and TWT. Then we study the energy consumption under different conditions using RAW. Finally, we evaluate the energy consumption using TWT. In the results, we show that the presented model has a maximum deviation from the simulations of 10% in case of capture effect (CE) and 7% without it. RAW always performs better than carrier-sense multiple access with collision avoidance (CSMA/CA) when the traffic is higher and the usage of more slots has showed to have better energy efficiency, of up to the 76%, although also significantly increasing the latency. We will show how TWT outperforms pure RAW, by over 100%, when the transmission time is over 5 min.
Year
DOI
Venue
2019
10.3390/s19112614
SENSORS
Keywords
Field
DocType
internet of things,IEEE 802,11ah,Wi-Fi HaLow,energy consumption,RAW,TWT
Energy modeling,Capture effect,IEEE 802.11ah,Latency (engineering),Efficient energy use,Collision,Electronic engineering,Engineering,Transmission time,Energy consumption
Journal
Volume
Issue
ISSN
19
11
1424-8220
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Serena Santi151.49
Le Tian2274.46
Evgeny Khorov315133.66
Jeroen Famaey438651.33