TY - JOUR
T1 - Enabling the Internet of Things with Wi-Fi Halow - Performance Evaluation of the Restricted Access Window
AU - Khorov, Evgeny
AU - Krotov, Alexander
AU - Lyakhov, Andrey
AU - Yusupov, Ruslan
AU - Condoluci, Massimo
AU - Dohler, Mischa
AU - Akyildiz, Ian
PY - 2019/1/1
Y1 - 2019/1/1
N2 - IEEE 802.11ah, a new amendment to the Wi-Fi standard, adapts Wi-Fi networks to the emerging Internet of Things (IoT). A key component of.11ah is the Restricted Access Window (RAW), a new channel access mechanism, which reduces contention when even thousands of IoT devices operate in the same area by assigning them different channel times. This paper shows that existing studies incorrectly understand the RAW behavior, oversimplify its modeling and thereby overestimate the real system throughput in several times, especially for short durations of the reserved RAW slots. The core contribution of this paper is a new mathematical model based on a completely different approach, which yields more accurate results and thereby enables better IoT system dimensioning. The developed model is suitable for many scenarios typical for IoT. It allows finding RAW parameters that optimize system performance in terms of throughput, power consumption, and packet loss ratio. The proposed solution is can be used for various traffic patterns: when each device transmits a single packet, a batch of packets of random size, or it has full-buffer traffic.
AB - IEEE 802.11ah, a new amendment to the Wi-Fi standard, adapts Wi-Fi networks to the emerging Internet of Things (IoT). A key component of.11ah is the Restricted Access Window (RAW), a new channel access mechanism, which reduces contention when even thousands of IoT devices operate in the same area by assigning them different channel times. This paper shows that existing studies incorrectly understand the RAW behavior, oversimplify its modeling and thereby overestimate the real system throughput in several times, especially for short durations of the reserved RAW slots. The core contribution of this paper is a new mathematical model based on a completely different approach, which yields more accurate results and thereby enables better IoT system dimensioning. The developed model is suitable for many scenarios typical for IoT. It allows finding RAW parameters that optimize system performance in terms of throughput, power consumption, and packet loss ratio. The proposed solution is can be used for various traffic patterns: when each device transmits a single packet, a batch of packets of random size, or it has full-buffer traffic.
KW - energy consumption
KW - IEEE 802.11ah
KW - Internet of Things
KW - performance evaluation
KW - restricted access window
KW - throughput
KW - Wi-Fi HaLow
UR - http://www.scopus.com/inward/record.url?scp=85078320793&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2019.2939760
DO - 10.1109/ACCESS.2019.2939760
M3 - Article
AN - SCOPUS:85078320793
SN - 2169-3536
VL - 7
SP - 127402
EP - 127415
JO - IEEE Access
JF - IEEE Access
M1 - 8826287
ER -