Abstract
IEEE 802.11ah (Wi-Fi HaLow) is introduced to support Internet of things (IoT) applications. In this paper, we consider the IEEE 802.11ah multi-rate IoT network where stations (STAs) contend for channel access using group-based restricted access window (RAW) mechanism with the default uniform grouping scheme. RAW divides the channel time into various slots, STAs into different groups and assigns a dedicated RAW slot to each group of STAs. As uniform grouping scheme performs grouping on random basis, each group will comprise of distinct data rate STAs, which leads to severe degradation of throughput because of performance anomaly. We propose a novel RAW based resource allocation (RAW-RA) scheme which groups the STAs in a multi-rate IoT network based on data rates and allocates the RAW slots to the groups proportional to their data rates. We also develop an accurate analytical model with unsaturated traffic conditions for calculating the throughput and energy efficiency of the IEEE 802.11ah multi-rate IoT network with the RAW mechanism. From the analytical results, it is evident that the proposed RAW-RA scheme can resolve the performance anomaly as well as significantly improves the aggregate throughput and energy efficiency of the IoT network. Finally, all the analytical results are validated with extensive simulation studies.
Highlights
The technological advancements in the networking field are evolving rapidly; as a consequence, stations (STAs) are able to access the Internet everywhere at high speed
We develop an accurate analytical model where residual time is checked at each state of the discrete-time Markov-chain (DTMC) with unsaturated traffic conditions to evaluate the throughput and energy efficiency of the IEEE 802.11ah multi-rate Internet of things (IoT) network which uses distributed coordination function (DCF) with restricted access window (RAW) mechanism for medium sharing [5], [20], [22], [34]
We propose a novel RAW based resource allocation (RAW-RA) scheme which groups the STAs in a multi-rate IoT network based on data rates and assigns RAW slots to the groups proportional to their data rates
Summary
The technological advancements in the networking field are evolving rapidly; as a consequence, stations (STAs) are able to access the Internet everywhere at high speed. In IEEE 802.11 multi-rate networks, the STAs which are closer to the AP attain a higher rate due to the good channel conditions These STAs use the minimum channel time for transmission of information once they acquire channel access. We propose a novel scheme to resolve the performance anomaly in IEEE 802.11ah multi-rate IoT networks because of the distinct data rate STAs present in the network, due to varying channel conditions.
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