A Survey on Energy Management for Mobile and IoT Devices

Pasricha, Sudeep; Ayoub, Raid; Kishinevsky, Michael; Mandal, Sumit K.; Ogras, Ümit Y.

doi:10.1109/mdat.2020.2976669

Cited by 54 publications

(13 citation statements)

References 111 publications

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“…During the evolution of mobile networks towards 5G and beyond, the energy efficiency of large-scale IoT communications have been improved significantly [5][6][7]. The implemented methods and solutions to realize the energy-efficient IoT communications are summarized in [8,9]. As per literature, these solutions can be categorized into evolutionary and revolutionary solutions [10].…”

Section: A Energy-efficient Cellular Iotmentioning

confidence: 99%

Ultra-Low-Power IoT Communications: A novel address decoding approach for wake-up receivers

Mafi¹,

Amirhosseini²,

Hosseini³

et al. 2021

Preprint

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Providing energy-efficient Internet of Things (IoT) connectivity has attracted significant attention in fifth-generation (5G) wireless networks and beyond. A potential solution for realizing a long-lasting network of IoT devices is to equip each IoT device with a wake-up receiver (WuR) to have always-accessible devices instead of always-on devices. WuRs typically comprise a radio frequency demodulator, sequence decoder, and digital address decoder and are provided with a unique authentication address in the network. Although the literature on efficient demodulators is mature, it lacks research on fast, low-power, and reliable address decoders. As this module continuously monitors the received ambient energy for potential paging of the device, its contribution to WuR's power consumption is crucial. Motivated by this need, a low-power, reliable address decoder is developed in this paper. We further investigate the integration of WuR in low-power uplink/downlink communications and, using systemlevel energy analysis; we characterize operation regions in which WuR can contribute significantly to energy saving. The devicelevel energy analysis confirms the superior performance of our decoder. The results show that the proposed decoder significantly outperforms the state-of-the-art with power consumption of 60 nW, at cost of compromising negligible increase in decoding delay.

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Section: A Energy-efficient Cellular Iotmentioning

confidence: 99%

Ultra-Low-Power IoT Communications: A novel address decoding approach for wake-up receivers

Mafi¹,

Amirhosseini²,

Hosseini³

et al. 2021

Preprint

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“…These features offer flexible charging services in the crowdsharing environment. • Energy on demand: The miniaturization of IoT devices restricts the size of their batteries [19]. The small size of the battery results in a limited energy storage capacity.…”

Section: Crowdsharing Energy Servicesmentioning

confidence: 99%

Crowdsharing Wireless Energy Services

Lakhdari¹,

Abusafia²,

Bouguettaya³

2020

Preprint

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We propose a novel self-sustained ecosystem for energy sharing in the IoT environment. We leverage energy harvesting, wireless power transfer, and crowdsourcing that facilitate the development of an energy crowdsharing framework to charge IoT devices. The ubiquity of IoT devices coupled with the potential ability for sharing energy provides new and exciting opportunities to crowdsource wireless energy, thus enabling a green alternative for powering IoT devices anytime and anywhere. We discuss the crowdsharing of energy services, open challenges, and proposed solutions.

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“…Other reviews focus on the use of energy harvesting from the point of view of a certain application field such as the industrial [ 22 ], medical [ 23 , 24 ] or environmental field [ 19 ]. Another category of reviews deals with individual technologies and sub-modules of energy harvesting supplied wireless sensors, such as hybridization [ 25 , 26 ], energy management [ 27 , 28 ], wake-up technologies [ 29 ] or wireless communication aspect [ 30 ] or provide a global view of energy harvesting [ 31 ] for elaborating prospects for future developments.…”

Section: Introductionmentioning

confidence: 99%

Energy-Aware System Design for Autonomous Wireless Sensor Nodes: A Comprehensive Review

Kanoun

Bradai

Khriji

et al. 2021

Sensors

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Nowadays, wireless sensor networks are becoming increasingly important in several sectors including industry, transportation, environment and medicine. This trend is reinforced by the spread of Internet of Things (IoT) technologies in almost all sectors. Autonomous energy supply is thereby an essential aspect as it decides the flexible positioning and easy maintenance, which are decisive for the acceptance of this technology, its wide use and sustainability. Significant improvements made in the last years have shown interesting possibilities for realizing energy-aware wireless sensor nodes (WSNs) by designing manifold and highly efficient energy converters and reducing energy consumption of hardware, software and communication protocols. Using only a few of these techniques or focusing on only one aspect is not sufficient to realize practicable and market relevant solutions. This paper therefore provides a comprehensive review on system design for battery-free and energy-aware WSN, making use of ambient energy or wireless energy transmission. It addresses energy supply strategies and gives a deep insight in energy management methods as well as possibilities for energy saving on node and network level. The aim therefore is to provide deep insight into system design and increase awareness of suitable techniques for realizing battery-free and energy-aware wireless sensor nodes.

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A Survey on Energy Management for Mobile and IoT Devices

Cited by 54 publications

References 111 publications

Ultra-Low-Power IoT Communications: A novel address decoding approach for wake-up receivers

Ultra-Low-Power IoT Communications: A novel address decoding approach for wake-up receivers

Crowdsharing Wireless Energy Services

Energy-Aware System Design for Autonomous Wireless Sensor Nodes: A Comprehensive Review

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