A Low-Power WLAN Communication Scheme for IoT WLAN Devices Using Wake-Up Receivers

Hong, Hanseul; Kim, Young Yong; Kim, Ronny Yongho

doi:10.3390/app8010072

Cited by 10 publications

(6 citation statements)

References 22 publications

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“…The channel access method IEEE 802.11ba is the Enhanced Distributed Channel Access (EDCA) based on CSMA/CA, and power-saving mode is fulfilled through the WUR. The total energy consumption of IEEE 802.11ba is modeled in [ 89 ], where a dynamic hybrid WLAN communication model for IoT devices is considered. In this model, MU operation (IEEE 802.11ax) and WUR (IEEE 802.11ba) are taken into account.…”

Section: Iot Technologies and Energy Modelsmentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Review on Energy Harvesting Integration in IoT Systems from MAC Layer Perspective: Challenges and Opportunities

Famitafreshi

Afaqui

Melià-Seguí

2021

Sensors

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The Internet of Things (IoT) is revolutionizing technology in a wide variety of areas, from smart healthcare to smart transportation. Due to the increasing trend in the number of IoT devices and their different levels of energy requirements, one of the significant concerns in IoT implementations is powering up the IoT devices with conventional limited lifetime batteries. One efficient solution to prolong the lifespan of these implementations is to integrate energy harvesting technologies into IoT systems. However, due to the characteristics of the energy harvesting technologies and the different energy requirements of the IoT systems, this integration is a challenging issue. Since Medium Access Control (MAC) layer operations are the most energy-consuming processes in wireless communications, they have undergone different modifications and enhancements in the literature to address this issue. Despite the essential role of the MAC layer to efficiently optimize the energy consumption in IoT systems, there is a gap in the literature to systematically understand the possible MAC layer improvements allowing energy harvesting integration. In this survey paper, we provide a unified framework for different wireless technologies to measure their energy consumption from a MAC operation-based perspective, returning the essential information to select the suitable energy harvesters for different communication technologies within IoT systems. Our analyses show that only 23% of the presented protocols in the literature fulfill Energy Neutral Operation (ENO) condition. Moreover, 48% of them are based on the hybrid approaches, which shows its capability to be adapted to energy harvesting. We expect this survey paper to lead researchers in academia and industry to understand the current state-of-the-art of energy harvesting MAC protocols for IoT and improve the early adoption of these protocols in IoT systems.

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Section: Iot Technologies and Energy Modelsmentioning

confidence: 99%

“…In this model, MU operation (IEEE 802.11ax) and WUR (IEEE 802.11ba) are taken into account. According to the proposed model presented in [ 89 ], the total energy consumption in each station is achieved through Equation ( 3 ).

…”

Section: Iot Technologies and Energy Modelsmentioning

confidence: 99%

A Comprehensive Review on Energy Harvesting Integration in IoT Systems from MAC Layer Perspective: Challenges and Opportunities

Famitafreshi

Afaqui

Melià-Seguí

2021

Sensors

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“…The article [31] observes wake-up frame grouping within IEEE 802.11ax networks that support OFDMA uplink transmissions. In the proposed scheme, wake-up frames are sent after a trigger frame, which allocates channel resources.…”

Section: Literature Reviewmentioning

confidence: 99%

On the Joint Usage of Target Wake Time and 802.11ba Wake-Up Radio

et al. 2020

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Energy efficiency is a significant challenge for modern wireless networking devices. It is crucial for the Internet of Things devices, is required for battery-supplied user devices such as smartphones, and is advisable for high-performance devices such as wireless VR headsets. This paper examines the ability of modern Wi-Fi devices to achieve extremely low power consumption when they rarely send and receive data. Two recently developed mechanisms, namely Target Wake Time (TWT) and Wake-Up Radio (WUR), are studied. The first one allows stations to schedule the frame exchanges in advance, while the second one introduces a low-power radio for control information exchange. Although TWT and WUR differ significantly, they both suffer from the clock drift effect that significantly degrades their performance in the case of rare traffic. The paper describes these mechanisms, focusing on their revolutionary features, and presents mathematical models to evaluate the impact of this effect on TWT and WUR mechanism efficiency in terms of energy and channel time consumption. The paper also proposes and thoroughly examines various approaches to the joint and separate usage of TWT and WUR in Wi-Fi networks.

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“…Since a WUR frame is long, it is necessary to group several wake-up frames. For example, the authors of [11] propose and study a scheme of grouped wake-ups in an 802.11ax network which enables uplink OFDMA. In the proposed scheme, a wake-up packet is followed by a TF of 802.11ax which allocates resources for uplink transmission.…”

Section: Ieee 80211bamentioning

confidence: 99%

IEEE 802.11ba — Extremely Low Power Wi-Fi for Massive Internet of Things — Challenges, Open Issues, Performance Evaluation

Bankov

Khorov

Lyakhov

et al. 2019

2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)

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Many recent activities of IEEE 802.11 Working group have been focused on improving power efficiency of Wi-Fi to make it favorable for massive Internet of Things scenarios, in which swarms of battery supplied sensors rarely communicate with remote servers. The latest step towards this direction is the work on a new IEEE 802.11ba amendment to the Wi-Fi standard, which introduces Wake-Up Radio. This radio is an additional interface with extremely low power consumption that is used to transmit control information from the access point to stations while their primary radio is switched off. This paper describes the IEEE 802.11ba protocol, discusses its open issues, investigates several approaches to provide energy efficient data transmission with 802.11ba, and evaluates how much 802.11ba improves energy efficiency and even reduces channel time consumption.

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A Low-Power WLAN Communication Scheme for IoT WLAN Devices Using Wake-Up Receivers

Cited by 10 publications

References 22 publications

A Comprehensive Review on Energy Harvesting Integration in IoT Systems from MAC Layer Perspective: Challenges and Opportunities

A Comprehensive Review on Energy Harvesting Integration in IoT Systems from MAC Layer Perspective: Challenges and Opportunities

On the Joint Usage of Target Wake Time and 802.11ba Wake-Up Radio

IEEE 802.11ba — Extremely Low Power Wi-Fi for Massive Internet of Things — Challenges, Open Issues, Performance Evaluation

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